# Best Text Analysis Software

## How Many Text Analysis Software Products Does G2 Track?

**Total Products under this Category:** 191

### Category Stats (Aug 2026)

- **Average Rating:** 4.51/5 The average rating of products in this category, based on all submitted ratings
- **Top Trending Product:** IBM Watson Natural Language Understanding (+0.26%) - Among all products in this category, IBM Watson Natural Language Understanding recorded the largest rating increase compared to last month

_Last updated: August 01, 2026_

## How Does G2 Rank Text Analysis Software Products?

**Why You Can Trust G2's Software Rankings:**

- 30 Analysts and Data Experts
- 5,300+ Authentic Reviews
- 191+ Products
- Unbiased Rankings

G2's software rankings are built on verified user reviews, rigorous moderation, and a consistent research methodology maintained by a team of analysts and data experts. Each product is measured using the same transparent criteria, with no paid placement or vendor influence. While reviews reflect real user experiences, which can be subjective, they offer valuable insight into how software performs in the hands of professionals. Together, these inputs power the G2 Score, a standardized way to compare tools within every category.

## G2 Grid® for Text Analysis Software
 ![G2 Grid® for Text Analysis Software plotting products by satisfaction and market presence](https://www.g2.com/categories/text-analysis/grids.png?focus%5B%5D=1327283&focus%5B%5D=52116&focus%5B%5D=19895&focus%5B%5D=21472&focus%5B%5D=156788&focus%5B%5D=170171&focus%5B%5D=168405&focus%5B%5D=1192843)

Highlighted products: SAS Viya, Amazon Comprehend, Chattermill, Google Cloud Natural Language API, Caplena, Canvs, Birdie, and Kimola.

Underlying data: [Grid® JSON](https://www.g2.com/categories/text-analysis/grids.json?focus%5B%5D=sas-sas-viya&focus%5B%5D=amazon-comprehend&focus%5B%5D=chattermill&focus%5B%5D=google-cloud-natural-language-api&focus%5B%5D=caplena&focus%5B%5D=canvs-ai-canvs&focus%5B%5D=birdie-ai-birdie&focus%5B%5D=kimola)

**Sponsored**

### Enterpret

Enterpret empowers customer support, CX, and product teams to scale their understanding of customer feedback effortlessly. As your customer base grows and products become more complex, manually tagging and processing feedback quickly becomes unmanageable. Without comprehensive, trustworthy feedback data, product decisions often fall victim to recency bias or whoever speaks the loudest. Enterpret solves this challenge as a Unified Customer Feedback Intelligence platform, consolidating feedback from every critical channel—including Zendesk, Slack, Twitter, NPS surveys, app store reviews, and community forums—into a single source of truth. Leveraging advanced AI, Enterpret automatically categorizes and organizes feedback into a structured hierarchy, surfacing deep, actionable insights that authentically capture the Voice of the Customer. Teams rely on these insights to spot trends, enhance customer retention, drive revenue growth, prioritize effectively, and ensure alignment on the most impactful customer issues. Leading customer-centric companies like Canva, Notion, Strava, Hinge, and The Farmer's Dog use Enterpret to deliver exceptional customer experiences and fuel their growth through insightful feedback analysis.

[Visit website](https://www.g2.com/external_clickthroughs/record?secure%5Bad_program%5D=ppc&secure%5Bad_slot%5D=category_product_list_llm&secure%5Bcategory_id%5D=1260&secure%5Bchosen_at%5D=2026-08-01T08%3A26%3A48Z&secure%5Bdisplayable_resource_id%5D=1260&secure%5Bdisplayable_resource_type%5D=Category&secure%5Bmedium%5D=sponsored&secure%5Bplacement_reason%5D=page_category&secure%5Bplacement_resource_ids%5D%5B%5D=1260&secure%5Bprioritized%5D=false&secure%5Bproduct_id%5D=1179872&secure%5Bresource_id%5D=1260&secure%5Bresource_type%5D=Category&secure%5Bsource_type%5D=category_page&secure%5Bsource_url%5D=https%3A%2F%2Fwww.g2.com%2Fcategories%2Ftext-analysis%3Fopen_modal_url%3D%252Fproducts%252Fplayvox-customer-ai%252Fwishlists%253Fhost_path%253D%25252Fcategories%25252Ftext-analysis%2526source%253Dcategory&secure%5Btoken%5D=5e13eb05188d4a3172804e4563c6f5566ec5f1ae3d131415c2fa02b5ade05def&secure%5Burl%5D=https%3A%2F%2Fwww.enterpret.com%3Futm_source%3DG2%26utm_medium%3DPPC%26utm_campaign%3DG2_PPC_TextAnalysis&secure%5Burl_type%5D=custom_url)

### [SAS Viya](https://www.g2.com/products/sas-sas-viya/reviews)

SAS Viya is a cloud-native data and AI platform that enables teams to build, deploy and scale explainable AI that drives trusted, confident decisions. It unites the entire data and AI life cycle and empowers teams to innovate quickly while balancing speed, automation and governance by design. Viya unifies data management, advanced analytics and decisioning in a single platform, so organizations can move from experimentation to production with confidence, delivering measurable business impact that is secure, explainable and scalable across any environment. Key capabilities required to deliver trusted decisions include: • End-to-end clarity across the data and AI life cycle, with built-in lineage, auditability and continuous monitoring to support defensible decisions. • Governance by design, enabling consistent oversight across data, models and decisions to reduce risk and accelerate adoption. • Explainable AI at scale, so insights and outcomes can be understood, validated and trusted by business and regulators alike. • Operationalized analytics, ensuring value continues beyond deployment through monitoring, retraining and life cycle management. • Flexible, cloud-native deployment, allowing organizations to start anywhere and scale everywhere while maintaining control.

**Average Rating:** 4.3/5.0

**Total Reviews:** 774

#### How Do G2 Users Rate SAS Viya?

- **Has the product been a good partner in doing business?:** 8.2/10 (Category avg: 9.0/10)
- **Custom Extension:** 7.4/10 (Category avg: 8.1/10)
- **Compositionality:** 8.2/10 (Category avg: 8.3/10)
- **Pre-Built Parameterization:** 7.7/10 (Category avg: 8.3/10)

#### Who Is the Company Behind SAS Viya?

- **Seller:** [SAS Institute Inc.](https://www.g2.com/sellers/sas-institute-inc-df6dde22-a5e5-4913-8b21-4fa0c6c5c7c2)
- **Company Website:** www.sas.com
- **Year Founded:** 1976
- **HQ Location:** Cary, NC
- **Twitter:** @SASsoftware  
60,863 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=64db42c044af5bbad79bd9677a620a6c31a8ff1abf4e7b2a6f1d6ed9561d105d&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F1491%2F&secure%5Burl_type%5D=linkedin_company_website)  
18,638 employees on LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Student, Biostatistician
- **Top Industries:** Pharmaceuticals, Banking
- **Company Size:** 33% Large, 33% Small

#### What Do G2 Reviewers Say About SAS Viya?

_AI-generated summary from verified user reviews_

##### Pros

- Users value the **ease of use** of SAS Viya, which simplifies data visualization and enhances decision-making efficiency.
- Users value the **sophisticated analytical capabilities** of SAS Viya, enabling easy deployment and real-time decision-making.
- Users appreciate the **advanced analytical methods** offered by SAS Viya, enhancing decision-making and logistical data analysis capabilities.
- Users value the **end-to-end data lifecycle tooling** of SAS Viya, enhancing business insight and strategic decision-making.
- Users love the **intuitive interface** of SAS Viya, making data analysis and model deployment effortless for all skill levels.

##### Cons

- Users find SAS Viya to have a **learning difficulty** , making it challenging for non-technical individuals to navigate effectively.
- Users find the **learning curve steep** , making it challenging for non-technical users to navigate SAS Viya effectively.
- Users find the **visualization complexity** in SAS Viya challenging, particularly for non-technical users and beginners.
- Users struggle with the **difficult learning curve** of SAS Viya, particularly for new and non-technical users.
- Users find the **expensive pricing** of SAS Viya to be a significant barrier to entry for potential adoption.

#### What Are Recent G2 Reviews of SAS Viya?

**["Effective Data Analysis with SAS Viya"](https://www.g2.com/survey_responses/sas-viya-review-11872818)**

**Rating:** 4.5/5.0 stars

_— Fungai J._

[Read full review](https://www.g2.com/survey_responses/sas-viya-review-11872818)

**["SAS Viya: Powerful AI & Data Analysis with Seamless Integrations"](https://www.g2.com/survey_responses/sas-viya-review-11855145)**

**Rating:** 5.0/5.0 stars

_— Verified User in Hospital & Health Care_

[Read full review](https://www.g2.com/survey_responses/sas-viya-review-11855145)

#### What Are G2 Users Discussing About SAS Viya?

- [What is SAS Visual Data Mining and Machine Learning used for?](https://www.g2.com/discussions/what-is-sas-visual-data-mining-and-machine-learning-used-for) - 2 comments

### [Amazon Comprehend](https://www.g2.com/products/amazon-comprehend/reviews)

Amazon Comprehend is a natural language processing (NLP) service that uses machine learning to find insights and relationships in text. Amazon Comprehend identifies the language of the text; extracts key phrases, places, people, brands, or events; understands how positive or negative the text is; and automatically organizes a collection of text files by topic.

**Average Rating:** 4.3/5.0

**Total Reviews:** 82

#### How Do G2 Users Rate Amazon Comprehend?

- **Has the product been a good partner in doing business?:** 8.1/10 (Category avg: 9.0/10)
- **Custom Extension:** 7.9/10 (Category avg: 8.1/10)
- **Compositionality:** 8.5/10 (Category avg: 8.3/10)
- **Pre-Built Parameterization:** 8.2/10 (Category avg: 8.3/10)

#### Who Is the Company Behind Amazon Comprehend?

- **Seller:** [Amazon Web Services (AWS)](https://www.g2.com/sellers/amazon-web-services-aws-3e93cc28-2e9b-4961-b258-c6ce0feec7dd)
- **Year Founded:** 2006
- **HQ Location:** Seattle, WA
- **Twitter:** @awscloud  
2,232,483 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=072881eee28a2afe24f8d1bda9f20e3e146b9fb4b214f216411ce2ed6898b31e&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Famazon-web-services%2F&secure%5Burl_type%5D=linkedin_company_website)  
147,094 employees on LinkedIn®
- **Ownership:** NASDAQ: AMZN

#### Who Uses This Product?

- **Top Industries:** Information Technology and Services, Accounting
- **Company Size:** 40% Medium, 39% Small

#### What Do G2 Reviewers Say About Amazon Comprehend?

_AI-generated summary from verified user reviews_

##### Pros

- Users value the **data protection** features of Amazon Comprehend, ensuring sensitive information is managed securely.
- Users value the **valuable insights** that Amazon Comprehend provides, making data analysis from text simpler and more efficient.
- Users appreciate the **ease of use** of Amazon Comprehend, enabling valuable insights without needing machine learning experience.
- Users appreciate the **valuable insights extraction** capability of Amazon Comprehend, enhancing their data analysis processes efficiently.
- Users value the **insightful text analysis** capabilities of Amazon Comprehend, enhancing understanding from various textual sources.

##### Cons

- Users find that **accuracy issues** arise without sufficient training data, impacting insights and increasing costs significantly.
- Users find the **cost of Amazon Comprehend high** , particularly when dealing with large volumes of data for analysis.
- Users find that **insufficient training** can limit accuracy and raise costs for high-volume data processing with Amazon Comprehend.

#### What Are Recent G2 Reviews of Amazon Comprehend?

**["Accurate Pre-Trained NLP Models with Seamless PII Redaction"](https://www.g2.com/survey_responses/amazon-comprehend-review-12955644)**

**Rating:** 4.5/5.0 stars

_— Ruchi P._

[Read full review](https://www.g2.com/survey_responses/amazon-comprehend-review-12955644)

**["Powerful, Easy-to-Integrate NLP Insights with Amazon Comprehend"](https://www.g2.com/survey_responses/amazon-comprehend-review-13187739)**

**Rating:** 4.0/5.0 stars

_— Atharva P._

[Read full review](https://www.g2.com/survey_responses/amazon-comprehend-review-13187739)

### [Chattermill](https://www.g2.com/pt/products/chattermill/reviews)

Chattermill é a plataforma de inteligência de experiência do cliente (CXI) nativa de IA que unifica feedback fragmentado e destaca o que deve ser priorizado. Construída para a era agente, é utilizada por equipes de CX, Voz do Cliente (VoC), produto, suporte e insights em marcas empresariais que precisam transformar feedback disperso em uma ação clara, e não em mais um painel que ninguém abre. Chattermill conecta-se a mais de 100 canais de feedback, incluindo pesquisas, avaliações, tickets de suporte, conversas e mídias sociais. Ela traduz e transcreve feedback em mais de 100 idiomas, enriquece cada sinal com contexto (ID do cliente, canal, localização) e classifica cada feedback com Lyra, o modelo de IA proprietário da Chattermill. Lyra combina análise de sentimento baseada em aspectos, aprendizado supervisionado e grandes modelos de linguagem, garantindo que a categorização permaneça consistente mesmo em alto volume. Uma vez que o feedback é organizado, as equipes recebem métricas de acompanhamento para NPS, CSAT e sentimento, insights precisos que apontam para questões e oportunidades específicas, resumos de IA respaldados por citações reais de clientes, análise de impacto que mostra o que realmente está movendo métricas chave, e detecção de anomalias que sinaliza picos antes que eles escalem. Relatórios e painéis facilitam o compartilhamento de descobertas e mantêm todas as equipes trabalhando a partir da mesma visão. Chattermill também se conecta diretamente a agentes de IA através de MCP e Skills, permitindo que as equipes consultem inteligência de cliente verificada de Claude, ChatGPT ou qualquer agente compatível com MCP sem sair de seu fluxo de trabalho. O Agente Lyra, o agente de CX nativamente integrado da Chattermill, trabalha em segundo plano para destacar insights de alto impacto por conta própria. Uber, HelloFresh, Booking.com, Tesco, JustEat e H&M usam Chattermill para entender seus clientes. A Uber tem mais de 400 usuários em CX, produto e operações. A HelloFresh usou para lançar 7 novas marcas baseadas no que os clientes estavam pedindo. A Footasylum reduziu os contatos por transação em 42,8%. Chattermill é certificada SOC 2 Tipo II e ISO 27001, e está em conformidade com GDPR e CCPA. O G2 reconheceu a Chattermill como Líder de Grade e Líder de Momentum em Análise de Feedback.

**Average Rating:** 4.4/5.0

**Total Reviews:** 236

#### How Do G2 Users Rate Chattermill?

- **the product tem sido um bom parceiro comercial?:** 9.1/10 (Category avg: 9.0/10)
- **Extensão personalizada:** 7.9/10 (Category avg: 8.1/10)
- **Composicionalidade:** 7.7/10 (Category avg: 8.3/10)
- **Parametrização pré-construída:** 8.0/10 (Category avg: 8.3/10)

#### Who Is the Company Behind Chattermill?

- **Vendedor:** [Chattermill](https://www.g2.com/pt/sellers/chattermill)
- **Ano de Fundação:** 2015
- **Localização da Sede:** London
- **Twitter:** @ChattermillAI  
460 seguidores no Twitter
- **Página do LinkedIn®:** [www.linkedin.com](https://www.g2.com/pt/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=d74c2a4d9f3274c1f06539a6eb989c4d31b2029de64343d6b01930fb2b7d0fd6&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F9443815%2F&secure%5Burl_type%5D=linkedin_company_website)  
76 funcionários no LinkedIn®
- **Propriedade:** Private

#### Who Uses This Product?

- **Who Uses This:** Gerente Sênior de Produto, Gerente de Produto
- **Top Industries:** Varejo, Serviços Financeiros
- **Company Size:** 48% Medium, 45% Large

#### What Do G2 Reviewers Say About Chattermill?

_AI-generated summary from verified user reviews_

##### Pros

- Os usuários acham a **facilidade de uso** do Chattermill excepcional, permitindo acesso rápido a insights valiosos sem necessidade de treinamento extenso.
- Os usuários valorizam a **gestão de feedback em tempo real** do Chattermill, melhorando sua capacidade de responder rapidamente às avaliações dos clientes.
- Os usuários valorizam a **clareza dos insights de clientes** da Chattermill, permitindo decisões informadas e estratégias de serviço aprimoradas.
- Os usuários valorizam os **insights acionáveis** gerados pelo Chattermill, que melhoram significativamente a qualidade do serviço e a tomada de decisões.
- Os usuários apreciam a **limpeza e organização das avaliações** no Chattermill, melhorando a análise do feedback dos clientes.

##### Cons

- Os usuários encontram **informações insuficientes** no Chattermill, observando uma curva de aprendizado acentuada e uma necessidade de melhor orientação.
- Os usuários acham a **interface não intuitiva** , tornando desafiador acessar insights e criar painéis de forma eficiente.
- Os usuários observam que as **limitações da IA** impedem insights e orientações, afetando a experiência analítica geral.
- Os usuários enfrentam problemas de **imprecisão** com a IA da Chattermill, levando a classificações incorretas e insights não confiáveis às vezes.
- Os usuários acham a **usabilidade complexa** do Chattermill desafiadora, especialmente para usuários ocasionais e novos adotantes.

#### What Are Recent G2 Reviews of Chattermill?

**["Chattermill Transforma Feedback Multilíngue de Clientes em Insights de Produto Acionáveis"](https://www.g2.com/pt/survey_responses/chattermill-review-12772265)**

**Rating:** 4.5/5.0 stars

_— Florent J._

[Read full review](https://www.g2.com/pt/survey_responses/chattermill-review-12772265)

**["Análise Intuitiva de Feedback com Espaço para Percepções Mais Profundas"](https://www.g2.com/pt/survey_responses/chattermill-review-10437099)**

**Rating:** 4.0/5.0 stars

_— Thomas Z._

[Read full review](https://www.g2.com/pt/survey_responses/chattermill-review-10437099)

#### What Are G2 Users Discussing About Chattermill?

- [Para que é usado o Chattermill?](https://www.g2.com/pt/discussions/what-is-chattermill-used-for) - 1 comment

### [Google Cloud Natural Language API](https://www.g2.com/pt/products/google-cloud-natural-language-api/reviews)

Derive insights from unstructured text using Google aprendizado de máquina.

**Average Rating:** 4.3/5.0

**Total Reviews:** 99

#### How Do G2 Users Rate Google Cloud Natural Language API?

- **the product tem sido um bom parceiro comercial?:** 8.3/10 (Category avg: 9.0/10)
- **Extensão personalizada:** 8.7/10 (Category avg: 8.1/10)
- **Composicionalidade:** 8.8/10 (Category avg: 8.3/10)
- **Parametrização pré-construída:** 8.3/10 (Category avg: 8.3/10)

#### Who Is the Company Behind Google Cloud Natural Language API?

- **Vendedor:** [Google](https://www.g2.com/pt/sellers/google)
- **Ano de Fundação:** 1998
- **Localização da Sede:** Mountain View, CA
- **Twitter:** @google  
31,899,995 seguidores no Twitter
- **Página do LinkedIn®:** [www.linkedin.com](https://www.g2.com/pt/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=fe4a5936665c9702418dd53c477fef5a7baea08078bb117ed67e966fc581b9ec&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F1441%2F&secure%5Burl_type%5D=linkedin_company_website)  
341,888 funcionários no LinkedIn®
- **Propriedade:** NASDAQ:GOOG

#### Who Uses This Product?

- **Who Uses This:** Engenheiro de Software
- **Top Industries:** Software de Computador, Tecnologia da Informação e Serviços
- **Company Size:** 55% Small, 23% Large

#### What Do G2 Reviewers Say About Google Cloud Natural Language API?

_AI-generated summary from verified user reviews_

##### Pros

- Os usuários valorizam a **capacidade de upload de banco de dados** da API Google Cloud Natural Language, aprimorando a tomada de decisões em serviços de saúde.
- Os usuários valorizam o **manuseio eficiente de dados** da API Google Cloud Natural Language, aprimorando a tomada de decisões em serviços de saúde.
- Os usuários adoram o **suporte para upload de banco de dados** da API Google Cloud Natural Language, aprimorando a tomada de decisões em várias aplicações.

##### Cons

- Os usuários acham a **interface não amigável** , tornando difícil entender e utilizar efetivamente a API.

#### What Are Recent G2 Reviews of Google Cloud Natural Language API?

**["Uma Escolha Sólida para Análise de Texto e Detecção de Sentimento"](https://www.g2.com/pt/survey_responses/google-cloud-natural-language-api-review-13174091)**

**Rating:** 4.5/5.0 stars

_— Jeni J._

[Read full review](https://www.g2.com/pt/survey_responses/google-cloud-natural-language-api-review-13174091)

**["Insights de Texto Rápidos e Precisos com a API de Linguagem Natural do Google Cloud"](https://www.g2.com/pt/survey_responses/google-cloud-natural-language-api-review-13188869)**

**Rating:** 4.5/5.0 stars

_— Anjaly T._

[Read full review](https://www.g2.com/pt/survey_responses/google-cloud-natural-language-api-review-13188869)

### [Caplena](https://www.g2.com/pt/products/caplena/reviews)

Caplena é a camada de inteligência de feedback que ajuda marcas e equipes de pesquisa a transformar feedback aberto em insights precisos e acionáveis — sem a rigidez das plataformas tradicionais de CX. Construída com precisão suíça, a Caplena combina poder analítico profundo, flexibilidade incomparável e simplicidade intuitiva. As equipes podem analisar qualquer fonte de feedback com precisão em nível humano, refinar temas de forma interativa e modelar conjuntos de dados de forma independente — sem necessidade de cientistas de dados. Confiada por mais de 200 organizações, incluindo DHL, Lufthansa e Euromonitor, a Caplena oferece IA transparente e explicável, painéis personalizáveis e fluxos de trabalho autônomos que ajudam as equipes a passar de feedback não estruturado para insights de classe mundial, rapidamente.

**Average Rating:** 4.5/5.0

**Total Reviews:** 53

#### How Do G2 Users Rate Caplena?

- **the product tem sido um bom parceiro comercial?:** 9.4/10 (Category avg: 9.0/10)
- **Extensão personalizada:** 8.7/10 (Category avg: 8.1/10)
- **Composicionalidade:** 8.2/10 (Category avg: 8.3/10)
- **Parametrização pré-construída:** 8.1/10 (Category avg: 8.3/10)

#### Who Is the Company Behind Caplena?

- **Vendedor:** [Caplena](https://www.g2.com/pt/sellers/caplena)
- **Website da Empresa:** www.caplena.com
- **Ano de Fundação:** 2017
- **Localização da Sede:** Zürich, CH
- **Twitter:** @CaplenaCH  
69 seguidores no Twitter
- **Página do LinkedIn®:** [www.linkedin.com](https://www.g2.com/pt/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=ab43232f70202dbb8a603ca49211f9d64e775b1563155748868dc09dbb1ce072&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F27224654%2F&secure%5Burl_type%5D=linkedin_company_website)  
27 funcionários no LinkedIn®

#### Who Uses This Product?

- **Top Industries:** Pesquisa de Mercado
- **Company Size:** 34% Medium, 25% Small

#### What Do G2 Reviewers Say About Caplena?

_AI-generated summary from verified user reviews_

##### Pros

- Os usuários acham a plataforma da Caplena **extremamente fácil de usar** , apreciando seu design intuitivo e equipe de suporte responsiva.
- Os usuários elogiam o **apoio inestimável** da equipe da Caplena, apreciando sua prestatividade e eficiência na assistência.
- Os usuários consideram os **recursos avançados de categorização** da Caplena inestimáveis para analisar e visualizar o feedback dos clientes de forma eficaz.
- Os usuários valorizam a **integração de IA** no Caplena por sua eficiência em analisar dados e categorizar tópicos de forma eficaz.
- Os usuários apreciam a **eficiência da tecnologia de IA** na Caplena, acelerando significativamente a análise de dados e a configuração de projetos.

##### Cons

- Os usuários acham que o Caplena **não é intuitivo** , exigindo mais facilidade de uso e explicações de contexto mais claras para um uso eficaz.
- Os usuários acham que as **funcionalidades ausentes** dificultam o uso eficaz dos dados e a compreensão, impactando a experiência geral com o Caplena.
- Os usuários enfrentam **limitações na integração de fluxo de trabalho** e precisam de ferramentas complementares para utilizar plenamente os insights da Caplena.
- Os usuários acham a **falta de dados auto-codificados** e as limitações de funcionalidade frustrantes para suas necessidades de gerenciamento de dados.
- Os usuários acham que a **falta de recursos essenciais** do Caplena limita sua eficácia para gestão de casos e acompanhamento operacional.

#### What Are Recent G2 Reviews of Caplena?

**["Caplena Transforma Feedback Aberto em Insights Acionáveis Rapidamente"](https://www.g2.com/pt/survey_responses/caplena-review-13122445)**

**Rating:** 5.0/5.0 stars

_— Ki-Hoan J._

[Read full review](https://www.g2.com/pt/survey_responses/caplena-review-13122445)

**["Reformulamos completamente nosso processo de análise de dados"](https://www.g2.com/pt/survey_responses/caplena-review-13169090)**

**Rating:** 5.0/5.0 stars

_— Usuário Verificado em Pesquisa de Mercado_

[Read full review](https://www.g2.com/pt/survey_responses/caplena-review-13169090)

#### What Are G2 Users Discussing About Caplena?

- [Para que serve o Caplena?](https://www.g2.com/pt/discussions/what-is-caplena-used-for)

### [Birdie](https://www.g2.com/products/birdie-ai-birdie/reviews)

Birdie is a Customer Intelligence and Customer Experience platform for regulated, high-stakes industries in financial services and fintech. It is the Customer Context Platform: the only system that unites Customer Intelligence (voice of customer and feedback analytics) and Frontline Intelligence (agent quality assurance) into one closed-loop CX decision system. Most customer intelligence and feedback analytics tools stop at insight. Most quality assurance tools stop at a scorecard. Birdie closes the loop: it detects the signal, diagnoses the root cause, prioritizes the fix by revenue and churn risk rather than ticket volume, and proves the fix worked. Because every AI decision comes with its reasoning, the customer quote plus the logic, compliance and risk teams get an audit trail instead of a black box. Connected to Zendesk, Salesforce, Intercom, Slack, Snowflake, and Claude via MCP, Birdie analyzes 50M+ monthly customer interactions for CX, support, and product leaders at banks, credit unions, and fintechs like Nubank, KOHO, and Patreon. The results: feedback cycles cut from two weeks to under 24 hours. Support volume down 75% while CSAT climbed from 73 to 91. Churn prevented, revenue preserved. If your team still moves from insight to action by hand, or your quality assurance program still lives in a spreadsheet, Birdie closes that gap.

**Average Rating:** 4.8/5.0

**Total Reviews:** 42

#### How Do G2 Users Rate Birdie?

- **Has the product been a good partner in doing business?:** 9.4/10 (Category avg: 9.0/10)
- **Pre-Built Parameterization:** 10.0/10 (Category avg: 8.3/10)

#### Who Is the Company Behind Birdie?

- **Seller:** [Birdie.ai](https://www.g2.com/sellers/birdie-ai-4ab7c489-fcdb-42c4-b38b-7a5884228262)
- **Company Website:** birdie.ai
- **Year Founded:** 2019
- **HQ Location:** Palo Alto, US
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=ca752490267fa104d9b08056b229cc8079506f6b77167ba833a0c593ad0f2e63&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fusebirdie%2F&secure%5Burl_type%5D=linkedin_company_website)  
63 employees on LinkedIn®

#### Who Uses This Product?

- **Top Industries:** Financial Services
- **Company Size:** 56% Medium, 35% Large

#### What Are Recent G2 Reviews of Birdie?

**["Intuitive Voice of Customer Analysis with Birdie and Outstanding Support"](https://www.g2.com/survey_responses/birdie-review-13163747)**

**Rating:** 5.0/5.0 stars

_— Louiza T._

[Read full review](https://www.g2.com/survey_responses/birdie-review-13163747)

**["Essential for rapid response, de-escalation, and understanding complex cases."](https://www.g2.com/survey_responses/birdie-review-13162799)**

**Rating:** 5.0/5.0 stars

_— Luana G._

[Read full review](https://www.g2.com/survey_responses/birdie-review-13162799)

### [Canvs](https://www.g2.com/pt/products/canvs-ai-canvs/reviews)

As empresas têm dificuldade em entender o verdadeiro significado por trás do feedback dos clientes e como agir sobre ele. A Canvs resolve isso usando IA avançada para analisar dados não estruturados, transformando sentimentos complexos dos clientes em inteligência clara e acionável. Ao revelar os motivadores emocionais por trás do comportamento do cliente, a Canvs permite que as marcas tomem decisões mais empáticas e baseadas em dados que aumentam a lealdade do cliente, impulsionam a inovação e criam conexões mais profundas com seu público.

**Average Rating:** 4.3/5.0

**Total Reviews:** 147

#### How Do G2 Users Rate Canvs?

- **the product tem sido um bom parceiro comercial?:** 8.9/10 (Category avg: 9.0/10)
- **Extensão personalizada:** 7.2/10 (Category avg: 8.1/10)
- **Composicionalidade:** 7.6/10 (Category avg: 8.3/10)
- **Parametrização pré-construída:** 7.4/10 (Category avg: 8.3/10)

#### Who Is the Company Behind Canvs?

- **Vendedor:** [Canvs AI](https://www.g2.com/pt/sellers/canvs-ai)
- **Website da Empresa:** canvs.ai
- **Ano de Fundação:** 2010
- **Localização da Sede:** New York, New York
- **Twitter:** @canvsai  
2,656 seguidores no Twitter
- **Página do LinkedIn®:** [www.linkedin.com](https://www.g2.com/pt/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=053a4113f64f77963dd604bdf0ca743f152f927d5b7d4974de05289133d543a9&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fcanvsai%2F&secure%5Burl_type%5D=linkedin_company_website)  
23 funcionários no LinkedIn®

#### Who Uses This Product?

- **Top Industries:** Pesquisa de Mercado, Entretenimento
- **Company Size:** 41% Large, 32% Small

#### What Do G2 Reviewers Say About Canvs?

_AI-generated summary from verified user reviews_

##### Pros

- Os usuários elogiam a **facilidade de uso** do Canvs AI, apreciando sua interface intuitiva e navegação fluida para análise.
- Os usuários elogiam os **insights impulsionados por IA** da Canvs, fornecendo feedback personalizado e melhorando a experiência do cliente de forma eficiente.
- Os usuários valorizam a **capacidade de geração de insights** do Canvs, tornando fácil extrair temas principais dos dados de forma eficiente.
- Os usuários valorizam o **atendimento ao cliente responsivo e conhecedor** da Canvs, melhorando sua experiência e eficiência.
- Os usuários acham o Canvs **incrivelmente útil** e eficaz na simplificação de tarefas complexas de codificação e na geração de insights.

##### Cons

- Os usuários acham as **capacidades de filtragem da IA limitadas** , tornando difícil obter insights direcionados de respostas específicas.
- Os usuários acham que a **precisão na categorização** do Canvs é insuficiente, levando a dificuldades em obter insights direcionados.
- Os usuários experimentam **desempenho lento** ao processar conjuntos de dados maiores, levando a atrasos frustrantes durante a análise de dados.
- Os usuários experimentam **instabilidade de software** com o Canvs, frequentemente encontrando falhas e desempenho lento durante a análise de dados.
- Os usuários enfrentam **problemas de precisão** com o Canvs, muitas vezes exigindo ajustes manuais para corrigir classificações incorretas e insights inconsistentes.

#### What Are Recent G2 Reviews of Canvs?

**["Economizador de tempo, um item indispensável para análises qualitativas"](https://www.g2.com/pt/survey_responses/canvs-review-11406657)**

**Rating:** 5.0/5.0 stars

_— Usuário Verificado em Hospital e Cuidados de Saúde_

[Read full review](https://www.g2.com/pt/survey_responses/canvs-review-11406657)

**["Canvs AI é uma ótima ferramenta para analisar dados de várias fontes de uma só vez, de forma integrada."](https://www.g2.com/pt/survey_responses/canvs-review-11085943)**

**Rating:** 4.5/5.0 stars

_— Erika L._

[Read full review](https://www.g2.com/pt/survey_responses/canvs-review-11085943)

#### What Are G2 Users Discussing About Canvs?

- [Para que é usado o Canvs AI?](https://www.g2.com/pt/discussions/what-is-canvs-ai-used-for)

### [Kimola](https://www.g2.com/pt/products/kimola/reviews)

Kimola permite que você extraia e colete feedback de mais de 30 canais, depois analise, classifique e resuma tudo — desde avaliações de produtos e respostas de pesquisas até conversas de chat e de call center. Seja em avaliações de e-commerce, respostas de CSAT ou tickets de suporte, Kimola transforma feedback bruto em insights estruturados nos quais você pode agir. Confiado por clientes em mais de 90 países Confiado por clientes em mais de 90 países, 1000+ empresas, Kimola é usado por empresas globais como P&G Singapura, Pizza Hut Espanha, Michelin Brasil, Honda Países Baixos, Costa Coffee Reino Unido, Lufthansa Airlines, bem como por PMEs em crescimento, incluindo Plan3, Astropay e Blueberry Markets. Nossos usuários variam de equipes de produto e #CX a aplicativos móveis, museus, restaurantes e até estúdios de pilates — provando que entender seus clientes é importante em todos os setores. Aqui estão as principais características pelas quais mais de 1000 empresas escolhem Kimola: - Colete avaliações e conversas na web, redes sociais, lojas de aplicativos móveis, sites de e-commerce, Tripadvisor, Trustpilot, Google Business e mais ou carregue seu conjunto de dados personalizado: Seus clientes estão falando em todos os lugares. Kimola facilita a coleta das vozes deles de sites, redes sociais, lojas de aplicativos móveis, plataformas de e-commerce, Intercom, Zendesk e fontes confiáveis como Tripadvisor, Trustpilot e Google Business — tudo em um só lugar. - Classifique automaticamente instantaneamente e analise temas com múltiplos rótulos e múltiplos sentimentos: Não é necessário treinamento prévio em IA para analisar suas avaliações. Basta carregar seu conjunto de dados e analisar as avaliações instantaneamente com múltiplos aspectos e múltiplos sentimentos. Porque todos os pesquisadores sabem que rótulos únicos não funcionam para os melhores insights! - Crie Modelos Personalizados sem nem mesmo treinar - Crie Resumos Não é mais necessário vasculhar milhares de avaliações. Kimola gera automaticamente resumos estruturados — desde solicitações de recursos e pontos problemáticos até motivações de uso e relatórios prontos para executivos — para que você possa agir mais rapidamente. - Exporte relatórios para PowerPoint, PDF, Excel, CSV Compartilhe facilmente suas descobertas entre as equipes. Exporte seus insights em formatos PowerPoint, Excel ou CSV para integrar diretamente em seus fluxos de trabalho de relatórios. - Analise em mais de 30 idiomas com taxa de precisão de 95,4%. Kimola analisa feedback de clientes em mais de 30 idiomas com uma taxa de precisão muito alta, ajudando você a entender seu público como nunca antes.

**Average Rating:** 4.8/5.0

**Total Reviews:** 24

#### How Do G2 Users Rate Kimola?

- **the product tem sido um bom parceiro comercial?:** 9.8/10 (Category avg: 9.0/10)
- **Extensão personalizada:** 9.0/10 (Category avg: 8.1/10)
- **Composicionalidade:** 8.9/10 (Category avg: 8.3/10)
- **Parametrização pré-construída:** 9.1/10 (Category avg: 8.3/10)

#### Who Is the Company Behind Kimola?

- **Vendedor:** [Kimola](https://www.g2.com/pt/sellers/kimola)
- **Ano de Fundação:** 2014
- **Localização da Sede:** San Francisco, CALIFORNIA
- **Twitter:** @kimola101  
857 seguidores no Twitter
- **Página do LinkedIn®:** [www.linkedin.com](https://www.g2.com/pt/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=df70e1241db47cc9e8b7bb9b348be3b4a136b73d6e125e0f5c8be761f28e8482&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fkimola&secure%5Burl_type%5D=linkedin_company_website)  
9 funcionários no LinkedIn®

#### Who Uses This Product?

- **Top Industries:** Marketing e Publicidade, Tecnologia da Informação e Serviços
- **Company Size:** 63% Small, 29% Medium

#### What Do G2 Reviewers Say About Kimola?

_AI-generated summary from verified user reviews_

##### Pros

- Os usuários destacam a **precisão excepcional** da análise temática e de sentimento da Kimola, superando significativamente outras ferramentas.
- Os usuários destacam a **facilidade de uso** do Kimola, apreciando a configuração sem esforço e a interface intuitiva para análise.
- Os usuários consideram o Kimola uma **ferramenta que economiza tempo** , permitindo uma análise eficiente de milhares de avaliações em apenas algumas horas.
- Os usuários elogiam o **suporte ao cliente responsivo** da Kimola, que fornece assistência útil de forma consistente quando necessário para um uso sem problemas.
- Os usuários apreciam a **facilidade de entender o feedback dos clientes** com os insights precisos e a interface intuitiva da Kimola.

##### Cons

- Os usuários acham que a Kimola **carece de recursos** como relatórios por e-mail e pesquisas, com esperanças de melhorias futuras.
- Os usuários acham o **design ruim da interface** frustrante, complicando o processo de compra de créditos e integração.
- Os usuários acham a **configuração complexa** do Kimola desafiadora, especialmente para aqueles que não estão familiarizados com o processo de integração.
- Os usuários acham frustrante que **problemas de funcionalidade de e-mail** não sejam atualmente resolvidos no Kimola, afetando a usabilidade.
- Os usuários acham as **limitações de exportação** frustrantes, desejando resumos mais perspicazes e melhores opções de apresentação.

#### What Are Recent G2 Reviews of Kimola?

**["Análise de Sentimentos Eficiente com Relatórios Robustos"](https://www.g2.com/pt/survey_responses/kimola-review-12752848)**

**Rating:** 5.0/5.0 stars

_— Pragya S._

[Read full review](https://www.g2.com/pt/survey_responses/kimola-review-12752848)

**["IA Flexível e Poderosa para Análise de Feedback de Clientes em Grande Escala"](https://www.g2.com/pt/survey_responses/kimola-review-12772081)**

**Rating:** 4.5/5.0 stars

_— Rens v._

[Read full review](https://www.g2.com/pt/survey_responses/kimola-review-12772081)

### [Dovetail](https://www.g2.com/pt/products/dovetail-research-pty-ltd-dovetail/reviews)

Nunca foi tão fácil construir um produto ou serviço. As barreiras de entrada (ideias, talento e ferramentas) estão rapidamente se tornando commoditizadas pela IA. Quanto mais rápido suas equipes se alinham e resolvem os problemas mais críticos dos clientes, mais receita e participação de mercado você desbloqueia. A única maneira de vencer é identificar o que os clientes precisam e entregar antes da concorrência. Mas isso é difícil de fazer. Os dados estão espalhados por equipes e ferramentas usando vários métodos e é difícil de entender e alinhar rapidamente. Mesmo no mundo da IA, os desafios únicos associados à coleta, análise e compreensão de feedbacks complexos dos clientes levam as equipes a desperdiçar milhões de dólares em produtos fracassados, ciclos de desenvolvimento mais lentos e esforços duplicados. Como resultado, estão continuamente arriscando quedas na satisfação do cliente e, em última análise, na receita. A Dovetail fornece compreensão contínua do cliente. Nossa plataforma de inteligência de clientes nativa de IA transforma automaticamente chamadas de vendas, feedback de usuários, tickets de suporte e dados de voz do cliente em insights acionáveis que fazem seu negócio crescer. A Dovetail integra-se com dezenas de ferramentas como Gong, Intercom, Zoom, Salesforce, Slack, Teams e Google Play para analisar vídeo, áudio, documentos e texto. Gere automaticamente relatórios e documentos de requisitos; configure painéis para visualizar tendências; e configure agentes para garantir que os insights sejam colocados em prática. Permita que sua equipe rastreie solicitações de recursos, identifique pontos problemáticos, reduza a rotatividade e aumente a satisfação do cliente por meio de inteligência de clientes de alta qualidade, precisa e em tempo real, acessível a todos. Implante o sistema de registro padrão da indústria, de nível empresarial, para toda a sua inteligência de clientes. Coloque seu cliente em primeiro lugar e faça seu negócio crescer. Estamos aqui para equipes que se preocupam em resolver problemas reais dos clientes. Junte-se a empresas como Meta, Volvo, AWS, Dyson, Deloitte e milhares de outras que colocam seus clientes em primeiro lugar com a Dovetail.

**Average Rating:** 4.5/5.0

**Total Reviews:** 167

#### How Do G2 Users Rate Dovetail?

- **the product tem sido um bom parceiro comercial?:** 8.9/10 (Category avg: 9.0/10)
- **Extensão personalizada:** 4.5/10 (Category avg: 8.1/10)
- **Composicionalidade:** 5.0/10 (Category avg: 8.3/10)
- **Parametrização pré-construída:** 5.1/10 (Category avg: 8.3/10)

#### Who Is the Company Behind Dovetail?

- **Vendedor:** [Dovetail Research Pty. Ltd.](https://www.g2.com/pt/sellers/dovetail-research-pty-ltd)
- **Website da Empresa:** dovetail.com
- **Ano de Fundação:** 2017
- **Localização da Sede:** Sydney, Australia
- **Twitter:** @hidovetail  
2,183 seguidores no Twitter
- **Página do LinkedIn®:** [au.linkedin.com](https://www.g2.com/pt/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=681367e9652c5d78585cc44cb1824f4ea5f1e39a36020ed5ad6f453ded053976&secure%5Burl%5D=https%3A%2F%2Fau.linkedin.com%2Fcompany%2Fheydovetail&secure%5Burl_type%5D=linkedin_company_website)  
163 funcionários no LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Pesquisador Sênior de UX, Pesquisador de UX
- **Top Industries:** Software de Computador, Tecnologia da Informação e Serviços
- **Company Size:** 45% Medium, 27% Small

#### What Do G2 Reviewers Say About Dovetail?

_AI-generated summary from verified user reviews_

##### Pros

- Os usuários valorizam a **facilidade de uso** do Dovetail, apreciando sua localização centralizada e recursos intuitivos para síntese de pesquisa.
- Os usuários adoram o Dovetail por sua **organização centralizada de pesquisa** e recursos de IA impressionantes que melhoram a interação com os dados.
- Os usuários valorizam a **interface intuitiva e os recursos poderosos** do Dovetail, melhorando a eficiência da pesquisa e a colaboração em equipe.
- Os usuários valorizam a **reutilização eficiente de dados** do Dovetail, permitindo insights mais rápidos e reduzindo a necessidade de estudos repetidos.
- Os usuários valorizam as **capacidades de reutilização de dados** do Dovetail, melhorando significativamente a eficiência da pesquisa e os insights.

##### Cons

- Os usuários acham as **funcionalidades ausentes** do Dovetail frustrantes, especialmente nas ferramentas de IA, marcação, fluxos de trabalho e opções de relatórios.
- Os usuários experimentam uma **falta de orientação** com o Dovetail, lutando para navegar na configuração e otimizar o uso de forma eficaz.
- Os usuários acham o **sistema de marcação complexo** e os recursos de IA no Dovetail desafiadores, complicando sua experiência geral e eficácia.
- Os usuários acham a **complexidade** do Dovetail desafiadora, destacando uma curva de aprendizado acentuada e métodos de marcação complicados.
- Os usuários acham a **curva de aprendizado íngreme** do Dovetail frustrante, dificultando o gerenciamento eficaz de projetos a longo prazo e o compartilhamento de insights.

#### What Are Recent G2 Reviews of Dovetail?

**["Dovetail centraliza a pesquisa com colaboração intuitiva e impulsionada por IA"](https://www.g2.com/pt/survey_responses/dovetail-review-12911093)**

**Rating:** 4.5/5.0 stars

_— Luciana S._

[Read full review](https://www.g2.com/pt/survey_responses/dovetail-review-12911093)

**["Dovetail nos ajudou a encontrar nosso caminho para o ajuste do produto ao mercado"](https://www.g2.com/pt/survey_responses/dovetail-review-10368938)**

**Rating:** 4.5/5.0 stars

_— Emilio P._

[Read full review](https://www.g2.com/pt/survey_responses/dovetail-review-10368938)

### [SAP HANA Cloud](https://www.g2.com/products/sap-hana-cloud-2025-10-01/reviews)

SAP HANA Cloud is a modern database-as-a-service (DBaaS) powering the next generation of intelligent data applications. SAP HANA Cloud offers a competitive edge by incorporating advanced machine learning and predictive tools grounded in modern data science. Its powerful in-memory performance safeguards efficient data processing. By securely storing vast amounts of data with its integrated multitier storage and handling various types on a single copy in its native multi-model database, SAP HANA Cloud simplifies data management and connects to other data sources. The seamless integration of these capabilities in a reliable, unified foundation makes it easier for developers to build high-demand intelligent data apps.

**Average Rating:** 4.3/5.0

**Total Reviews:** 521

#### How Do G2 Users Rate SAP HANA Cloud?

- **Has the product been a good partner in doing business?:** 8.5/10 (Category avg: 9.0/10)
- **Custom Extension:** 9.2/10 (Category avg: 8.1/10)
- **Compositionality:** 8.9/10 (Category avg: 8.3/10)
- **Pre-Built Parameterization:** 8.3/10 (Category avg: 8.3/10)

#### Who Is the Company Behind SAP HANA Cloud?

- **Seller:** [SAP](https://www.g2.com/sellers/sap)
- **Year Founded:** 1972
- **HQ Location:** Walldorf
- **Twitter:** @SAP  
297,052 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=8fd712dbd816fadfc039a60dcf8c1a3d6a48469756075586fa0be3da7e4b74d7&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fsap%2F&secure%5Burl_type%5D=linkedin_company_website)  
141,955 employees on LinkedIn®
- **Ownership:** NYSE:SAP

#### Who Uses This Product?

- **Who Uses This:** Consultant, SAP Consultant
- **Top Industries:** Information Technology and Services, Computer Software
- **Company Size:** 61% Large, 26% Medium

#### What Do G2 Reviewers Say About SAP HANA Cloud?

_AI-generated summary from verified user reviews_

##### Pros

- Users appreciate the **ease of use** with SAP HANA Cloud, enjoying seamless integration and smooth real-time analytics.
- Users appreciate the **easy integrations** of SAP HANA Cloud, enhancing their workflow and data management seamlessly.
- Users value the **smooth integration capabilities** of SAP HANA Cloud, enhancing efficiency and simplifying data management.
- Users value the **speed and responsiveness** of SAP HANA Cloud, making data handling efficient and streamlined.
- Users value the **flexible and elastic scalability** of SAP HANA Cloud, enhancing performance for data-intensive applications.

##### Cons

- Users find the **complexity of the setup** challenging, particularly for new users and integrations with other systems.
- Users find SAP HANA Cloud to be **expensive** , particularly for large data demands and advanced configurations requiring expertise.
- Users find the **learning curve challenging** , especially for teams new to HANA's concepts and SQL extensions.
- Users find the **difficult learning curve** of SAP HANA Cloud challenging, especially for new users and feature navigation.
- Users find the **complex setup** of SAP HANA Cloud challenging, particularly for newcomers and during initial provisioning.

#### What Are Recent G2 Reviews of SAP HANA Cloud?

**["Efficient Transactions, But Time-Intensive Setup"](https://www.g2.com/survey_responses/sap-hana-cloud-review-12983922)**

**Rating:** 4.0/5.0 stars

_— Sumeet R._

[Read full review](https://www.g2.com/survey_responses/sap-hana-cloud-review-12983922)

**["Real-Time Analytics Powerhouse with Flexible, Scalable Performance."](https://www.g2.com/survey_responses/sap-hana-cloud-review-12631916)**

**Rating:** 5.0/5.0 stars

_— Mahendra S._

[Read full review](https://www.g2.com/survey_responses/sap-hana-cloud-review-12631916)

### [Unwrap.ai](https://www.g2.com/products/unwrap-ai/reviews)

At Unwrap, we're on a mission to help fill the world with products people love. Our customer intelligence platform integrates with all of your feedback sources (support tickets, reviews, surveys, and more), then proactively extracts patterns and trends from your feedback and surfaces them to you. With a deeper understanding of all your customers, Unwrap helps you build your product roadmap in confidence, and helps you prevent churn by shipping features users actually want.

**Average Rating:** 4.8/5.0

**Total Reviews:** 26

#### How Do G2 Users Rate Unwrap.ai?

- **Has the product been a good partner in doing business?:** 9.9/10 (Category avg: 9.0/10)

#### Who Is the Company Behind Unwrap.ai?

- **Seller:** [Unwrap.ai](https://www.g2.com/sellers/unwrap-ai)
- **Company Website:** unwrap.ai
- **Year Founded:** 2022
- **HQ Location:** Santa Barbara, California
- **Twitter:** @unwrapai  
152 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=e40d58f68df3ad688a24a6996f4a3bee6240b238a8acc8d7753d9f5861ccd686&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Funwrapai%2F&secure%5Burl_type%5D=linkedin_company_website)  
48 employees on LinkedIn®

#### Who Uses This Product?

- **Top Industries:** Computer Software
- **Company Size:** 50% Medium, 27% Large

#### What Do G2 Reviewers Say About Unwrap.ai?

_AI-generated summary from verified user reviews_

##### Pros

- Users value the **ease of synthesizing customer feedback** with Unwrap's AI, enhancing insights and prioritization significantly.
- Users find Unwrap.ai to be incredibly **easy to use** , with an intuitive design that ensures quick mastery of the platform.
- Users find Unwrap.ai's **helpful and responsive support** invaluable, enhancing their workflow and addressing customer needs efficiently.
- Users value the **time-saving insights** from Unwrap.ai, enabling quick identification of customer issues and trends.
- Users commend Unwrap.ai for its **commitment to continuous improvement** and attentive customer support driving valuable features.

##### Cons

- Users find the **interface not intuitive** , making it challenging to organize and manage feedback efficiently.
- Users find **limited tools** hinder their ability to efficiently visualize and manage feedback customization in Unwrap.ai.
- Users report a **poor understanding** of feedback due to limited accuracy in AI groupings and clunky manual processes.
- Users find the **search functionality lacking** , requiring constant manual adjustments for effective data retrieval and analysis.
- Users note the **limited visualization tools** in Unwrap.ai, though the AI's trend detection is highly valued.

#### What Are Recent G2 Reviews of Unwrap.ai?

**["Unwrap Makes Feedback Reporting Effortless with Powerful AI, Dashboards, and Support"](https://www.g2.com/survey_responses/unwrap-ai-review-12700187)**

**Rating:** 5.0/5.0 stars

_— Marcello B._

[Read full review](https://www.g2.com/survey_responses/unwrap-ai-review-12700187)

**["Real-Time Alerts Turn Customer Feedback Into Actionable Insights"](https://www.g2.com/survey_responses/unwrap-ai-review-12579424)**

**Rating:** 4.5/5.0 stars

_— Verified User in Consumer Electronics_

[Read full review](https://www.g2.com/survey_responses/unwrap-ai-review-12579424)

### [Speak](https://www.g2.com/products/speak-ai-speak/reviews)

Speak is a no-code transcription and natural language processing platform that helps researchers and marketers extract valuable insights from media. Get professional and automated transcription, generate dashboard reports and capture audio, video and text data at scale. Over 150,000+ individuals and teams from over 150 countries have signed up to easily integrate language analysis into workflows for breakthroughs in efficiency and intelligence. Get access to a 7-day trial with 2 hours of transcription and analysis and all features included.

**Average Rating:** 4.9/5.0

**Total Reviews:** 28

#### How Do G2 Users Rate Speak?

- **Has the product been a good partner in doing business?:** 10.0/10 (Category avg: 9.0/10)
- **Custom Extension:** 9.2/10 (Category avg: 8.1/10)
- **Compositionality:** 9.0/10 (Category avg: 8.3/10)
- **Pre-Built Parameterization:** 8.9/10 (Category avg: 8.3/10)

#### Who Is the Company Behind Speak?

- **Seller:** [Speak Ai](https://www.g2.com/sellers/speak-ai)
- **Year Founded:** 2019
- **HQ Location:** Toronto, CA
- **Twitter:** @speakai\_co  
256 Twitter followers
- **LinkedIn® Page:** [linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=31e9f838de2b5a63892092163864c0a991223a4a0049ba4974be634ee7b098ba&secure%5Burl%5D=https%3A%2F%2Flinkedin.com%2Fcompany%2Fspeakai-co&secure%5Burl_type%5D=linkedin_company_website)  
5 employees on LinkedIn®

#### Who Uses This Product?

- **Top Industries:** Non-Profit Organization Management
- **Company Size:** 89% Small, 7% Medium

#### What Do G2 Reviewers Say About Speak?

_AI-generated summary from verified user reviews_

##### Pros

- Users find Speak highly **easy to use** , enhancing productivity during meetings and streamlining transcription processes.
- Users appreciate the **time-saving** benefits of Speak AI, enabling efficient reports and accurate meeting summaries.
- Users appreciate the **high accuracy and insightful analysis** of Speak for enhancing transcription and conversation management.
- Users highlight the **impressive accuracy** of Speak AI, enhancing efficiency and transforming transcription and reporting tasks.
- Users highlight the **high transcription accuracy** of Speak.ai, which significantly enhances efficiency and user experience.

##### Cons

- Users express frustration over the **cost** and find the short trial period limiting for training students.
- Users face **subscription issues** including sign-in difficulties, payment concerns, and a short trial period for training.
- Users find occasional **accuracy issues** with Speak, requiring some effort to ensure their notes are correct.
- Users face **joining issues** such as sign-in difficulties, payment problems, and a short trial period for training.
- Users note **translation problems** in French, causing confusion with field titles like meeting notifications.

#### What Are Recent G2 Reviews of Speak?

**["Speak Should Be Speak Easy"](https://www.g2.com/survey_responses/speak-review-11883693)**

**Rating:** 5.0/5.0 stars

_— Ted H._

[Read full review](https://www.g2.com/survey_responses/speak-review-11883693)

**["Impressive tool."](https://www.g2.com/survey_responses/speak-review-11669828)**

**Rating:** 5.0/5.0 stars

_— Francois L._

[Read full review](https://www.g2.com/survey_responses/speak-review-11669828)

### [DocuPipe](https://www.g2.com/pt/products/docupipe/reviews)

DocuPipe é uma solução de processamento de documentos com IA projetada para ajudar os usuários a extrair e entender informações de maneira eficiente a partir de uma ampla variedade de documentos. Este software emprega visão computacional avançada e orquestração de modelos de linguagem de grande escala (LLM) para analisar documentos, mesmo quando são longos, variam em layout e possuem tabelas complexas ou escrita à mão. DocuPipe permite que sua empresa defina facilmente como deseja entender seus tipos específicos de documentos. Classifique automaticamente os documentos recebidos e mapeie-os para a extração correta, obtendo um resultado confiável todas as vezes - mesmo se o documento for longo, escaneado ou tiver um layout variável. Automatize qualquer coisa, desde o processamento de faturas até listas de verificação de admissão de pacientes com base em relatórios de laboratório, ou compreensão de contas de serviços públicos. Uma característica chave do DocuPipe é sua capacidade de extração com base em esquema. Os usuários podem simplesmente explicar em inglês como desejam que um documento seja entendido, e o motor de IA analisa milhares de documentos para construir uma estrutura que faça sentido com base em documentos da vida real. Isso resulta em saídas fortemente tipadas e consistentes, garantindo que os dados extraídos sejam confiáveis e facilmente integrados a outros sistemas. Ao contrário das soluções baseadas apenas em LLM, o DocuPipe é capaz de fundamentar suas previsões no texto físico - marcando em amarelo a evidência por trás de cada número, data ou conclusão que extraiu de um documento. Isso permite que você defina fluxos de revisão para processamento de alto risco, ou quando a conformidade exige um humano no processo. Foque a atenção humana valiosa em campos de menor confiança e desbloqueie um crescimento de produtividade de 10x para operações de entrada de dados. DocuPipe oferece inúmeros caminhos para integração. Envie seus resultados de dados para mais de 5000 destinos desbloqueados usando soluções sem código, como Workato, Make e n8n. Defina fluxos de trabalho com uma interface gráfica e conecte pipelines complexos usando sua API extensivamente documentada.

**Average Rating:** 4.9/5.0

**Total Reviews:** 58

#### How Do G2 Users Rate DocuPipe?

- **the product tem sido um bom parceiro comercial?:** 9.4/10 (Category avg: 9.0/10)
- **Extensão personalizada:** 10.0/10 (Category avg: 8.1/10)
- **Composicionalidade:** 10.0/10 (Category avg: 8.3/10)
- **Parametrização pré-construída:** 10.0/10 (Category avg: 8.3/10)

#### Who Is the Company Behind DocuPipe?

- **Vendedor:** [DocuPipe](https://www.g2.com/pt/sellers/docupipe)
- **Website da Empresa:** www.docupanda.io
- **Ano de Fundação:** 2023
- **Localização da Sede:** New York City, US
- **Página do LinkedIn®:** [www.linkedin.com](https://www.g2.com/pt/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=1cf92a91d0cfbad5b1eb9bc2ca6c9fb3eda4123e1284efbf0db99f5aeb14a0ab&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fdocupanda%2F&secure%5Burl_type%5D=linkedin_company_website)  
5 funcionários no LinkedIn®

#### Who Uses This Product?

- **Top Industries:** Contabilidade, Tecnologia da Informação e Serviços
- **Company Size:** 51% Small, 25% Medium

#### What Do G2 Reviewers Say About DocuPipe?

_AI-generated summary from verified user reviews_

##### Pros

- Os usuários valorizam a **facilidade de uso** do DocuPipe, facilitando a transcrição rápida de dados sem a necessidade de alterações de design.
- Os usuários elogiam a **precisão da transcrição do DocuPipe** , especialmente para converter formulários manuscritos em dados estruturados de forma confiável.
- Os usuários elogiam o **excelente suporte ao cliente** da DocuPipe, fornecendo assistência rápida e eficaz sempre que necessário.
- Os usuários elogiam o DocuPipe por sua **extração precisa de dados** de vários formulários, aumentando a eficiência e a confiabilidade no processamento.
- Os usuários acham a **configuração inicial do DocuPipe fácil** , simplificando a integração e melhorando a experiência geral do usuário e a eficiência.

##### Cons

- Os usuários observam que o **design ruim da interface** do DocuPipe pode prejudicar a clareza e a eficiência durante o processamento de documentos.
- Os usuários sugerem que o **design ruim da interface** do DocuPipe prejudica a clareza e poderia se beneficiar de melhorias.
- Os usuários acham o DocuPipe **caro** , especialmente com preços complexos e custos adicionais para erros de esquema.
- Os usuários sentem que a **interface do usuário precisa de melhorias** , causando confusão na navegação, apesar das melhorias recentes.
- Os usuários enfrentam uma **curva de aprendizado difícil** com o DocuPipe, exigindo tempo e créditos para navegar efetivamente.

#### What Are Recent G2 Reviews of DocuPipe?

**["Extração de IA poderosa com um esquema fácil de editar e suporte responsivo"](https://www.g2.com/pt/survey_responses/docupipe-review-13048236)**

**Rating:** 5.0/5.0 stars

_— Usuário Verificado em Petróleo e Energia_

[Read full review](https://www.g2.com/pt/survey_responses/docupipe-review-13048236)

**["Integração de API Direta e Fluxos de Trabalho de Documentos Baseados em Esquema Flexível"](https://www.g2.com/pt/survey_responses/docupipe-review-13087649)**

**Rating:** 4.5/5.0 stars

_— Rio E._

[Read full review](https://www.g2.com/pt/survey_responses/docupipe-review-13087649)

### [IBM Watson Studio](https://www.g2.com/pt/products/ibm-watson-studio/reviews)

IBM Watson Studio no IBM Cloud Pak for Data é uma solução líder em ciência de dados e aprendizado de máquina que ajuda as empresas a acelerar a transformação digital impulsionada por IA. Permite que as empresas escalem IA confiável e otimizem decisões. Permite construir, executar e gerenciar modelos de IA em qualquer nuvem através de um ciclo de vida de IA automatizado de ponta a ponta—simplificando a experimentação e implantação, acelerando a exploração e preparação de dados, e melhorando o desenvolvimento e treinamento de modelos. Governar e monitorar modelos para mitigar desvios e vieses, e gerenciar o risco do modelo. Construir uma prática de ModelOps que sincroniza pipelines de aplicação e modelo para operacionalizar IA responsável e explicável em toda a empresa. Como uma oferta chave do IBM Cloud Pak for Data, uma plataforma unificada de dados e IA, o Watson Studio integra-se perfeitamente com serviços de gerenciamento de dados, capacidades de privacidade e segurança de dados, ferramentas de aplicação de IA, frameworks de código aberto e um ecossistema tecnológico robusto. Une equipes e capacita empresas a construir a arquitetura de informação moderna que a IA requer e a infundir em toda a organização. IBM Watson Studio é opcional em código, permitindo que tanto cientistas de dados quanto analistas de negócios trabalhem na mesma plataforma, fornecendo o melhor das ferramentas de código aberto junto com capacidades visuais de arrastar e soltar. Permite que as organizações aproveitem os ativos de dados e injetem previsões em processos de negócios e aplicações modernas—ajudando-as a maximizar seu valor de negócios. É adequado para ambientes híbridos de multicloud que exigem desempenho, segurança e governança críticos para a missão. As características incluem: • AutoAI que elimina tarefas repetitivas e demoradas automatizando a preparação de dados, desenvolvimento de modelos, engenharia de características e otimização de hiperparâmetros. • Análise de Texto para descobrir insights de dados não estruturados • Construção de modelos visuais de arrastar e soltar com SPSS Modeler • Acesso amplo a dados – arquivos planos, planilhas, principais bancos de dados relacionais • Motor gráfico sofisticado para construir visualizações impressionantes • Suporte para Notebooks Python 3 Watson Studio está disponível através de várias opções de implantação: • IBM Cloud Pak for Data – Uma plataforma de dados e IA aberta e extensível que roda em qualquer nuvem • IBM Cloud Pak for Data System – Uma plataforma em nuvem híbrida, no local, em uma caixa • IBM Cloud Pak for Data as a Service – Um conjunto de serviços de plataforma IBM Cloud Pak for Data totalmente gerenciado na IBM Cloud

**Average Rating:** 4.2/5.0

**Total Reviews:** 163

#### How Do G2 Users Rate IBM Watson Studio?

- **the product tem sido um bom parceiro comercial?:** 8.0/10 (Category avg: 9.0/10)
- **Extensão personalizada:** 8.1/10 (Category avg: 8.1/10)
- **Composicionalidade:** 9.2/10 (Category avg: 8.3/10)
- **Parametrização pré-construída:** 9.0/10 (Category avg: 8.3/10)

#### Who Is the Company Behind IBM Watson Studio?

- **Vendedor:** [IBM](https://www.g2.com/pt/sellers/ibm)
- **Ano de Fundação:** 1911
- **Localização da Sede:** Armonk, New York, United States
- **Twitter:** @IBMSecurity  
74,660 seguidores no Twitter
- **Página do LinkedIn®:** [www.linkedin.com](https://www.g2.com/pt/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=14b544adaece4fdbc987f1d7f7028048c22259946811200cc751263825586af9&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F1009%2F&secure%5Burl_type%5D=linkedin_company_website)  
328,202 funcionários no LinkedIn®
- **Propriedade:** SWX:IBM

#### Who Uses This Product?

- **Who Uses This:** Engenheiro de Software, CEO
- **Top Industries:** Tecnologia da Informação e Serviços, Software de Computador
- **Company Size:** 49% Large, 31% Small

#### What Do G2 Reviewers Say About IBM Watson Studio?

_AI-generated summary from verified user reviews_

##### Pros

- Os usuários apreciam a **capacidade de Auto AI** do IBM Watson Studio, que automatiza tarefas e melhora a eficiência da ciência de dados.
- Os usuários apreciam a **capacidade de Auto AI** do IBM Watson Studio, reduzindo significativamente o trabalho manual e aumentando a produtividade.
- Os usuários valorizam a **facilidade de uso** do IBM Watson Studio, permitindo uma rápida iniciação de projetos e colaboração sem interrupções.
- Os usuários apreciam a **capacidade de Auto AI** do IBM Watson Studio, reduzindo significativamente o trabalho manual na pré-processamento de dados.
- Os usuários acham a **integração fácil de IA** do IBM Watson Studio transformadora, melhorando significativamente seus fluxos de trabalho de ciência de dados e ML.

##### Cons

- Os usuários consideram o **preço elevado** do IBM Watson Studio uma barreira significativa, especialmente para indivíduos e startups.
- Os usuários acham a **curva de aprendizado íngreme** do IBM Watson Studio desafiadora, especialmente para iniciantes que navegam por recursos complexos.
- Os usuários enfrentam uma **curva de aprendizado acentuada** com o IBM Watson Studio, tornando desafiador para iniciantes navegar pelas funcionalidades complexas.
- Os usuários acham a **interface complexa** do IBM Watson Studio desafiadora, especialmente para iniciantes que navegam por seus recursos.
- Os usuários acham a **curva de aprendizado íngreme** do IBM Watson Studio desafiadora, especialmente devido à sua interface complexa.

#### What Are Recent G2 Reviews of IBM Watson Studio?

**["Uma plataforma tudo-em-um útil para análise de dados e IA"](https://www.g2.com/pt/survey_responses/ibm-watson-studio-review-13090033)**

**Rating:** 4.5/5.0 stars

_— Miguel P._

[Read full review](https://www.g2.com/pt/survey_responses/ibm-watson-studio-review-13090033)

**["Plataforma Robusta para Colaboração Fluida em Ciência de Dados"](https://www.g2.com/pt/survey_responses/ibm-watson-studio-review-12313951)**

**Rating:** 4.5/5.0 stars

_— Naimish M._

[Read full review](https://www.g2.com/pt/survey_responses/ibm-watson-studio-review-12313951)

#### What Are G2 Users Discussing About IBM Watson Studio?

- [Para que é usado o IBM Watson Studio?](https://www.g2.com/pt/discussions/what-is-ibm-watson-studio-used-for) - 1 upvote
- [What are the main benefits of using AutoAI in IBM Watson Studio?](https://www.g2.com/pt/discussions/what-are-the-main-benefits-of-using-autoai-in-ibm-watson-studio)
- [Is IBM Watson Studio free?](https://www.g2.com/pt/discussions/is-ibm-watson-studio-free)
- [How do I use IBM Watson Studio?](https://www.g2.com/pt/discussions/how-do-i-use-ibm-watson-studio)
- [What does IBM Watson Studio do?](https://www.g2.com/pt/discussions/what-does-ibm-watson-studio-do)

### [ATLAS.ti](https://www.g2.com/products/atlas-ti/reviews)

Leveraged by brands and academics alike, ATLAS.ti allows anyone to analyze data and uncover valuable insights – no matter which sector you work in. From basic analysis tasks to the most in-depth research projects: With ATLAS.ti, you can easily unlock actionable findings from your qualitative and mixed methods data with intuitive research tools and best-in-class technology: • Get access to native Mac and Win apps, plus our Web version • All features and tools included in one complete software package • Save time and find insights automatically, powered by AI • Experience seamless project exchange between versions • Take advantage of real-time collaboration for teams • Share multi-user licenses with as many people as you want • Benefit from our free live support and expert training Learn more here: www.atlasti.com

**Average Rating:** 4.7/5.0

**Total Reviews:** 58

#### How Do G2 Users Rate ATLAS.ti?

- **Has the product been a good partner in doing business?:** 9.0/10 (Category avg: 9.0/10)
- **Custom Extension:** 7.9/10 (Category avg: 8.1/10)
- **Compositionality:** 8.3/10 (Category avg: 8.3/10)
- **Pre-Built Parameterization:** 7.9/10 (Category avg: 8.3/10)

#### Who Is the Company Behind ATLAS.ti?

- **Seller:** [ATLAS.ti Scientific Software Development GmbH](https://www.g2.com/sellers/atlas-ti-scientific-software-development-gmbh)
- **Year Founded:** 1993
- **HQ Location:** Berlin
- **Twitter:** @ATLASti  
4,192 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=3ae1f4055f19b2500e25437f3d89495726e4358681bca5c46dc3aad33e37e866&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F5363207%2F&secure%5Burl_type%5D=linkedin_company_website)  
50 employees on LinkedIn®

#### Who Uses This Product?

- **Top Industries:** Higher Education, Research
- **Company Size:** 38% Small, 33% Medium

#### What Do G2 Reviewers Say About ATLAS.ti?

_AI-generated summary from verified user reviews_

##### Pros

- Users find ATLAS.ti's **ease of use** exceptional, enhancing their ability to analyze qualitative data effortlessly.
- Users value the **effective categorization capabilities** of ATLAS.ti, enhancing qualitative data analysis for research purposes.
- Users find ATLAS.ti to be highly **efficient** , significantly saving time while enhancing qualitative data analysis.
- Users find Atlas.ti to be **intuitive** , easily navigating its interface thanks to helpful resources and support.
- Users love the **time-saving capabilities** of ATLAS.ti, streamlining coding and analysis processes effectively.

##### Cons

- Users report experiencing **data inaccuracy** issues, yet find solace in the responsive support from the team.
- Users experience **system errors with large datasets** , but appreciate the helpful support team for assistance.
- Users request more **language support and tutorials** , particularly in Spanish, to enhance their experience with ATLAS.ti.

#### What Are Recent G2 Reviews of ATLAS.ti?

**["For a beginner like myself ...."](https://www.g2.com/survey_responses/atlas-ti-review-10228427)**

**Rating:** 5.0/5.0 stars

_— zhengping l._

[Read full review](https://www.g2.com/survey_responses/atlas-ti-review-10228427)

**["Flexible Coding That Fits Your Workflow"](https://www.g2.com/survey_responses/atlas-ti-review-12744241)**

**Rating:** 5.0/5.0 stars

_— Verified User in Retail_

[Read full review](https://www.g2.com/survey_responses/atlas-ti-review-12744241)

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[Browse Text Analysis Themes](/categories/text-analysis/themes)

 ![Bijou Barry](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Bijou Barry")
BB

Researched and written by [Bijou Barry](https://research.g2.com/insights/author/bijou-barry)

Updated October 3, 2024

Text analysis software, also called text analytics or text mining software, helps users gain insights from both structured and unstructured text data using natural language processing (NLP). Such insights include sentiment analysis, key phrases, language, themes and patterns, and entities, among others. These solutions leverage [NLP](https://www.g2.com/categories/natural-language-processing-nlp) and [machine learning](https://www.g2.com/categories/machine-learning) to pull out different insights and provide visual representations of the data for easier interpretation.

Text analysis tools can consume text data from a variety of sources, including emails, phone transcripts, surveys, customer reviews, and other documents. By importing text data from these different sources, businesses are better equipped to understand and analyze customer or employee sentiment, intelligently classify documents, and improve written content. Text analysis software may be used in conjunction with other analytics tools, including [big data analytics](https://www.g2.com/categories/big-data-analytics) and [business intelligence platforms](https://www.g2.com/categories/business-intelligence-platforms).

To qualify for the Text Analysis category, a product must:

- Import text data from a variety of different data sources
- Use natural language processing to extract insights from the text, including key phrases, language, sentiment, and other patterns
- Provide visualizations for text data

Show More

* * *

## How Do You Choose the Right Text Analysis Software?

### What You Should Know About Text Analysis Software

### What is Text Analysis Software?

Text analysis software helps businesses analyze their text data using natural language understanding, which is a subset of natural language processing. Because of the unstructured nature of text data, these analytics solutions take text as an input and provide some form of labels, tags, or insights as an input. In the age of digital transformation, businesses are embracing the need to understand company data like never before. 

Text analysis software, also known as text mining software or text analytics software, has become an important tool for nearly every business over the past decade. A more recent aspect of analytics and business intelligence is the need to understand not just structured data, but unstructured data as well. Unstructured data, such as text data, can be mined for meaning to inform business decisions. 

Text mining initiatives can help businesses ultimately better understand textual data sets. Being able to pull out actionable insights from numerical data housed in [ERP](https://www.g2.com/categories/erp) systems, [CRM software](https://www.g2.com/categories/crm), or [accounting software](https://www.g2.com/categories/accounting) is one thing, but being able to gain insights from unstructured data sources is invaluable. Without dedicated software for this task, businesses must either spend significant time and resources on building natural language understanding models or haphazardly investigating the data.

#### What Types of Text Analysis Software Exist?

Many types of text analysis solutions share overlapping functionality, while simultaneously catering to different user personas like data analysts and financial analysts, or providing unique services.

Some solutions may offer self-service features so that the average employee can assemble their charts and graphs from big data sets. Others, however, require more significant support from IT or data analysts.

**Self-service text analysis tools**

Self-service text analysis tools do not require coding knowledge, so end users with limited to no coding knowledge can take advantage of them for data needs. This enables business users like sales representatives, human resource managers, marketers, and other non-data team members to make decisions based on relevant business data. Self-service solutions often provide drag-and-drop functionality for tagging text, prebuilt templates for querying data, and other tools for data discovery. Similar to [analytics platforms](https://www.g2.com/categories/analytics-platforms), organizations use these tools to build interactive dashboards for discovering actionable insights.

For example, a customer service business leader might use this type of software to analyze thousands of customer emails to discover trends, such as sentiment and the choice of words they used. This analysis can inform how customer service agents respond to customers to achieve desired outcomes.

**Traditional text analysis tools**

As opposed to self-service options, some text analysis solutions are geared towards data professionals, such as data analysts and data scientists. They can use this software to train and deploy algorithms, as it assists them in tagging their data. Data scientists can use these tools to ingest text data, such as social media, call center transcriptions, news sources, and reviews, and to build and improve applications, achieving goals such as improving fraud detection and conducting sentiment analysis.

### What are the Common Features of Text Analysis Software?

Many capabilities of text analysis software can help users pull business-critical insights from text data.

**Language identification:** Text analytics solutions provide users with the ability to understand which language the text was written in. This can be beneficial when determining where a social media post came from or when a business has offices in multiple countries.

**Part of speech tagging:** Once the language is identified, text analysis software can tag each word with a part of speech, signifying if the word is a noun, verb, adjective, and so on.

**Syntax parsing:** Syntax parsing is very similar to part of speech tagging, but instead of understanding each word, it helps break down how a sentence was constructed and why.

**Entity recognition:** Text analytics solutions can help determine not just parts of speech but actual entities. For example, the part of speech may be a noun, but text analytics will break down whether that noun is a person or a place.

**Keyphrase extraction:** Another major feature of text mining and text analytics is keyphrase extraction, which allows users to determine patterns and themes within the text. These tools can pull out those common themes for the user.

**Sentiment analysis:** All of the above features can be relevant for sentiment analysis. Text analysis tools can offer up sentiment analysis scores, determining if the text is positive, negative, happy, sad, or neutral, among many other classifications. With the sentiment determined, businesses can decide how they want to act or interact with this data. For example, if a software company sees that all of their negative reviews are mentioning one particular feature, it might be a good idea to examine the state or viability of that feature.

### What are the Benefits of Text Analysis Software?

The reason to use text analysis software is rather straightforward—users need to analyze text—but there are many reasons behind why a business may want to perform text mining and analysis. It all boils down to better understanding and utilizing company data to impact business processes and the bottom line. It should be used to increase efficiency and productivity and to optimize processes that could be working better.

**Sentiment understanding:** Businesses are always trying to gauge customer satisfaction, and text analytics is an easy way to do so. Many different text data sources can provide customer sentiments, such as social media, emails from customers, phone transcripts, customer reviews, and others. If a company can understand their shortcomings or where they are excelling with customers, they can better support and manage those customers. Ultimately this can lead to increased revenue.

**Employee satisfaction:** Similarly to better understanding customers, businesses can improve employee engagement and satisfaction by using text analysis. While businesses shouldn’t necessarily spy on their employees, they can figure out employee sentiment and satisfaction based on surveys, emails, or phone transcripts. This can help businesses ensure that they are promoting the right company culture and providing a healthy and happy place to work.

**Survey analysis:** Text analysis is very often used when companies are running surveys. These surveys may be intended for customers or employees but can also relate to market research. Being able to quickly pull insights verbatim from survey responses can provide a unique perspective and insight that businesses may not be able to obtain through multiple-choice questions.

**Document classification:** An easy use case for text analysis software is document classification. Businesses often need to organize existing documents; by pulling out sentiment and themes, it can be much easier to bucket documents, such as invoices and contracts.

### Who Uses Text Analysis Software?

The typical user of text analytics is the same person who is tasked with using analytics and business intelligence solutions—a data analyst or data scientist. These users are trained in developing analytical and machine learning models used to pull out actionable insights from data. Data scientists are also tasked with deriving a business narrative from data, and text data is no different. If the text analytics product is of the self-service variety, less technical business users, such as operations, customer service, and finance teams can benefit from the technology to dig into their text data and derive insights. 

**Data analysts:** Depending on the complexity of the software, analysts may be required. They can help set up the requisite tagging of the text data and dashboards for other employees and teams. They can create complex queries inside the platforms to gather a deeper understanding of business-critical data. 

**Operations and supply chain teams:** A company’s supply chain frequently has many touchpoints, and as a result, many data points. Everything from invoices to shipping information can be analyzed with this software. Therefore, employees working in operations and supply chain teams can use text analysis software to gain a better understanding of their departments and the text data that is generated, such as from [ERP systems](https://www.g2.com/categories/erp). These applications track everything from accounting to supply chain and distribution. By inputting supply chain data into this software, supply chain managers can optimize several processes to save time and resources.

**Finance teams:** Finance teams leverage text analysis software to gain insight and understanding into the factors that impact an organization's bottom line. Through integrations with financial systems such as [accounting software](https://www.g2.com/categories/accounting), employees such as chief financial officers (CFOs) can see how well the business is performing. For example, they can analyze free-text data in expense reports to discover trends in the data. With this knowledge, they can determine the biggest spenders and spending categories and put a plan in place to curb spending, if desired.

**Sales and marketing teams:** Sales teams also seek to improve financial metrics and can benefit tremendously from being more data driven. They can obtain insights into prospective accounts, sales performance, and pipeline forecasting, among many other use cases. Using analytics tools in a sales team can help businesses optimize their sales processes and influence revenue. Through the analysis of survey data, business leaders can find out the most effective way to sell products.

For marketing teams, tracking the performance of campaigns is key. Since they run different types of campaigns, including email marketing, digital advertising, or even traditional advertising campaigns, these tools allow marketing teams to track the performance of those campaigns in one central location. Marketers can learn about how their audience is responding to their messages using sentiment analysis. In addition, they can evaluate their ad copy by tagging and classifying it to better understand what drives conversions.

**Consultants:** Businesses do not always have the luxury to build, develop, and optimize their analytics solutions. Some businesses opt to employ external consultants, such as [business intelligence (BI) consulting providers](https://www.g2.com/categories/business-intelligence-bi-consulting). These providers seek to understand a business and its goals, interpret data, and offer advice to ensure goals are met. BI consultants frequently have industry-specific knowledge alongside their technical backgrounds, with experience in healthcare, business, and other fields. 

**Customer service teams:** Customer service teams are faced with a challenge. They are frequently inundated with a flurry of customer concerns, whether that be via text, voice, or mail. Although agents can respond to each comment and concern individually, it is beneficial to have a proper understanding of trends, including the sentiment of messages, the types of complaints, and more. Using text analysis software, businesses can equip their agents with tools to help them respond to messages in a targeted manner, depending on factors such as sentiment and key phrases.

### What are the Alternatives to Text Analysis Software?

Alternatives to text analysis software can replace this type of software, either partially or completely:

[Feedback analytics software](https://www.g2.com/categories/feedback-analytics) **:** Text analysis software is an all-purpose solution built to analyze any text data. Businesses looking to focus on feedback text, such as from surveys, review sites, social media, and customer service tools, can leverage feedback analytics software to achieve this goal. This software enables businesses to consolidate and analyze their customer feedback within a single platform.

#### Software Related to Text Analysis Software

Related solutions that can be used together with text analysis software include:

[Data warehouse software](https://www.g2.com/categories/data-warehouse) **:** Most companies have a large number of disparate data sources, so to best integrate all their data, they implement a data warehouse. Data warehouses can house data from multiple databases and business applications, which allows BI and analytics tools to pull all company data from a single repository. This organization is critical to the quality of the data that is ingested by analytics software.

[Data preparation software](https://www.g2.com/categories/data-preparation) **:** A key software necessary for easy data analysis is a data preparation tool and other related data management tools. These solutions allow users to discover, combine, clean and enrich data for simple analysis. Data preparation tools are often used by IT teams or data analysts tasked with using text analysis tools. Some text analysis platforms offer data preparation features, but businesses with a wide range of data sources often opt for a dedicated preparation tool.

[Analytics platforms](https://www.g2.com/categories/analytics-platforms) **:** Analytics platforms might include some limited text analysis features, but are broader-focused tools that facilitate the following five elements: data preparation, data modeling, data blending, data visualization, and insights delivery.

[Stream analytics software](https://www.g2.com/categories/stream-analytics) **:** When one is looking for tools specifically geared toward analyzing data in real time, stream analytics software is a go-to solution. These tools help users analyze data in transfer through APIs, between applications, and more. This software can be helpful with the internet of things (IoT) data, which people usually want to analyze in real time.

[Predictive analytics software](https://www.g2.com/categories/predictive-analytics): Broad-purpose text analysis software allows businesses to conduct various forms of analysis, such as prescriptive, descriptive, and predictive. Businesses that are focused on looking at their past and present data to predict future outcomes can use predictive analytics software for a more fine-tuned solution. 

### Challenges with Text Analysis Software

Software solutions can come with their own set of challenges. 

**Need for skilled employees:** The main issue with text analysis software is that, despite the tool pulling information surrounding text data, it still requires a human to go that extra mile and determine what the data means. Without context, sentiment analysis, phrase tagging, and pulling themes or patterns from a text can only inform a user so much. An analyst will need to interpret that data and decipher the business implications of it. 

This is much more easily tackled with text analysis software because of the ability to visualize the data in an organized manner, but it still requires interpretation nonetheless. Some text analytics tools may offer a certain level of predictive analytics and provide users with suggestions or recommendations based on the data, but more often than not, human intervention is necessary.

**Data preparation:** Another potential concern is preparing the data to be ingested by the text analysis tool. The data needs to be stored properly, whether that is in a database or data warehouse and may require IT or a dedicated admin to ensure the text analytics tool can consume the data. The beauty of text analysis software is that it doesn’t always require the neatness of structured data. Unstructured data does not need to follow a columnar approach that structured data often requires.

**User adoption:** It is not always easy to transform a business into a data-driven company. Particularly at more established companies that have done things the same way for years, it is not simple to force analytics tools upon employees, especially if there are ways for them to avoid it. If there are other options, such as spreadsheets or existing tools that employees can use instead of analytics software, they will most likely go that route. However, if managers and leaders ensure that analytics tools are a necessity in an employee’s day to day, then adoption rates will increase.

### Which Companies Should Buy Text Analysis Software?

As it has often been said, data is the fuel that drives modern businesses. Although it is cliche, it no doubt has truth to it. Therefore, businesses across the globe and industries should consider some sort of analytics solution, such as text analysis to make sense of that data and begin to make data-driven decisions. Here are some illustrative examples of how textual analysis can be used in several industries:

**Financial services:** Within financial institutions, such as insurance brokerages, banks, and credit unions, it is common for a host of different systems to be used. These companies have data ranging from customer records, to transactions, to market data, and more. With the proliferation of systems comes more data. With a robust analytics solution in place, they can get a better understanding of the data that is being produced from the various systems across the business. As an industry that is heavily regulated, users can benefit from governed access capabilities which can be particularly beneficial, since it can assist in auditing company processes.

**Healthcare:** Within the space of healthcare, bad data practices might have dire or even deadly consequences. Text analysis software can help these organizations with having an overarching view of their data, such as patient records, insurance claims, finances, and more. Through the implementation of analytics, healthcare companies can lower risk and costs, and make their billing and collections smarter.

**Retail** : Retail organizations, whether they’re B2C, B2B, D2C, or others, rely on data to make informed decisions. For example, a seller of printers, to run a successful business, must keep track of many things such as their inventory, sales, their sales team, and returns. If all of this data is kept siloed within different systems, there is no single source of truth and departments cannot have a conversation around the actual state of the business’ data. With Text analysis software set up and connected to all of the relevant data sources, any retail business can see benefits and make meaningful data-driven decisions.

### How to Buy Text Analysis Software

#### Requirements Gathering (RFI/RFP) for Text Analysis Software

If a company is just starting out on its analytics journey, G2.com can help in selecting the best software for the particular company and use case. Since the particular solution might vary based on company size and industry, G2.com is a great place to sort and filter reviews based on these criteria, along with many more. The variety, volume, and velocity of data are vast. Therefore, users should think about how the particular solution fits their particular needs and their future needs as they accumulate more data. 

To find the right solution, buyers should determine pain points and jot them down. These should be used to help create a checklist of criteria. Additionally, the buyer must determine the number of employees who will need to use this software, as this drives the number of licenses they are likely to buy. Taking a holistic overview of the business and identifying pain points can help the team springboard into creating a checklist of criteria. The checklist serves as a detailed guide that includes both necessary and nice-to-have features including budget features, number of users, integrations, security requirements, cloud or on-premises solutions, and more.

Depending on the scope of the deployment, it might be helpful to produce a request for information (RFI), a one-page list with a few bullet points describing what is needed from a text analysis software.

#### Compare Text Analysis Software Products

**Create a long list**

From meeting the business functionality needs to implementation, vendor evaluations are an essential part of the software buying process. For ease of comparison after all demos are complete, it helps to prepare a consistent list of questions regarding specific needs and concerns to ask each vendor.

**Create a short list**

From the long list of vendors, it is helpful to narrow down the list and come up with a shorter list of contenders, preferably no more than three to five. With this list in hand, businesses can produce a matrix to compare the features and pricing of the various solutions.

**Conduct demos**

To ensure the comparison is thoroughgoing, the user should demo each solution on the shortlist with the same use case and data sets. This will allow the business to evaluate like for like and see how each vendor stacks up against the competition. 

#### Selection of Text Analysis Software

**Choose a selection team**

As text analysis software is all about the data, the user must make sure that the selection process is data driven as well. The selection team should compare notes, facts, and figures which they noted during the process, such as time to insight, number of visualizations, and availability of advanced analytics capabilities.

**Negotiation**

Just because something is written on a company’s pricing page, does not mean it is not negotiable (although some companies will not budge). It is imperative to open up a conversation regarding pricing and licensing. For example, the vendor may be willing to give a discount for multi-year contracts or for recommending the product to others.

**Final decision**

After this stage, and before going all in, it is recommended to roll out a test run or pilot program to test adoption with a small sample size of users. If the tool is well used and well received, the buyer can be confident that the selection was correct. If not, it might be time to go back to the drawing board.

### What Does Text Analysis Software Cost?

Businesses decide to deploy text analysis software to derive some degree of a return on investment (ROI).

#### Return on Investment (ROI)

As businesses look to recoup the funds they spent on the software, it is critical to understand the costs associated with it. As mentioned above, this software is typically billed per user, which is sometimes tiered depending on the company size. More users will typically translate into more licenses, which means more money.

Users must consider how much is spent and compare that to what is gained, both in terms of efficiency as well as revenue. Therefore, businesses can compare processes between pre and post-deployment of the software to better understand how processes have been improved and how much time has been saved. They can even produce a case study (either for internal or external purposes) to demonstrate their gains from their use of the text analysis software.

### Implementation of Text Analysis Software

**How is Text Analysis Software Implemented?**

Implementation differs drastically depending on the complexity and scale of the data. In organizations with vast amounts of data in disparate sources (e.g., applications, databases, etc.), it is often wise to utilize an external party, whether it’s an implementation specialist from the vendor or a third-party consultancy. With vast experience, they can help businesses understand how to connect and consolidate their data sources and how to use the software efficiently and effectively.

**Who is Responsible for Text Analysis Software Implementation?**

It may require a lot of people, or even teams, to properly deploy an analytics platform. This is because data can cut across teams and functions. As a result, one person or even one team rarely has a full understanding of all of a company’s data assets. With a cross-functional team in place, a business can piece together its data and begin the journey of analytics, starting with proper data preparation and management.

### Text Analysis Software Trends

**Data literacy**

Business data is no longer locked up in silos. With text analysis solutions, more users across a business can find, access, and analyze this data. In addition, [artificial intelligence (AI) software](https://www.g2.com/categories/artificial-intelligence) such as [natural language processing (NLP) software](https://www.g2.com/categories/natural-language-processing-nlp) help make searching through and for data easier and more powerful, providing more accurate results. Implementing analytics software has been a major initiative for companies undergoing digital transformation as these tools offer deeper visibility into an organization's data. Companies adopt these solutions to make sense of large data sets collected from all their various sources.

**Shift to the cloud**

The move from on-premises data analytics to the cloud has been underway for several years, with more and more businesses moving their data and data insights into the cloud. This is taking place for various reasons like time to insights. The move away from on-premises infrastructure has helped many companies enable data to work anywhere one has access to the cloud—anywhere with internet access. 

**Deep learning**

The main trend related to text analysis software is deep learning, but more specifically, natural language processing. As AI technology continues to advance, deep learning and NLP become more precise and effective when performing actions such as text analysis. This means that users need to do less digging through text, and instead, the insights are given to them. This is extremely beneficial, because, despite the comprehensive features that text analysis software provides, analysts are still required to dig through the data and determine the insights themselves. The next step, which NLP is contributing to, is to have the software provide actionable insights without the need to dig through the text data.