# Best Text Analysis Software - Page 5

*By [Bijou Barry](https://research.g2.com/insights/author/bijou-barry)*


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






## 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=170171&focus%5B%5D=156788&focus%5B%5D=168405&focus%5B%5D=104578)
Highlighted products: SAS Viya, Amazon Comprehend, Chattermill, Google Cloud Natural Language API, Canvs, Caplena, Birdie, and Dovetail.
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=canvs-ai-canvs&focus%5B%5D=caplena&focus%5B%5D=birdie-ai-birdie&focus%5B%5D=dovetail-research-pty-ltd-dovetail)


## How Many Text Analysis Software Products Does G2 Track?
**Total Products under this Category:** 191

### Category Stats (Jul 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: July 24, 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.


---

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---

## What Are the Top-Rated Text Analysis Software Products in 2026?
### 1. [Drai](https://www.g2.com/products/drai/reviews)
DrAI (read Doctor AI) is a text analytics company: we analyze massive amounts of text data from Social Media, customer feedback, open-ended questions, forums, reviews, transcripts, etc. The company was founded in February 2020 and has its roots in the Fulbright program. DrAI is the result of three academics, three experts in their field, joining forces around a common interest: the formation of public opinion, especially online. -\> Dr. Miika Vähämaa, Ph.D. in social psychology, experienced in advanced textual analysis techniques and statistical analysis. Worked as a business consultant, a journalist and a university lecturer before founding DrAI. -\> Dr. Valtteri Kaartemo, Ph.D. in international business. Co-author of several books and papers, including reports to the Prime Minister’s Office and the Ministry of Trade and Industry of Finland. Part-time entrepreneur for 10+ years, worked in several startups before founding DrAI. -\> Dr. Mark D. West, Ph.D. in communication research, experienced in advanced textual analysis techniques and statistical modeling; for its groundbreaking analysis of textual material his dissertation won two international awards.Worked as a university professor and corporate researcher before founding DrAI; has consulted for BMW, USAir, ABC, etc. Using proprietary cutting-edge AI and machine learning, DrAI derives accurately the true concerns and thinking patterns of people with a 99.51% statistical accuracy. We use our proprietary algorithm to conduct topic and sentiment analysis. Combined, these 2 are also known as ‘Opinion mining’. We provide more than a simple classification into positive, neutral and negative comments/messages. We classify data in a wide range of emotions/feelings, even when mixed within a single message. DrAI in not a mere text analytics solution, but full-service text analytics. We take care of the whole project from data scraping and collection to analyzing, to interpreting, to testing, to visualizing & reporting, to finally advising. All we need to perform is a brief from you, collaborators. We co-create your text analytics research projects with you to suit your needs and to provide the best results. With the findings we provide, understand the feelings/concerns/wishes of your customers/patients/users/stakeholders/subjects more accurately than ever. It will drive better, more informed decisions in your organization. Communicate with stakeholders more efficiently and meaningfully, especially if you aim for co-creation. We enable complex co-creation: no matter how long and intertwined the conversation with your audience gets, we will reap a 100% of the value in there. What we provide is pure actionable Business Intelligence. We do it fast: first results can be delivered in 24 hours. We do it worldwide: we analyze data in 60+ languages. We do it for any industry: we serve Healthcare & Pharmaceutical companies, Energy companies, Startups, Education Institutions, Consulting Agencies, Marketing/Communication/PR/Branding Agencies, Governments and Public Entities, Research Institutes, Non-governmental organizations, etc.


**Average Rating:** 5.0/5.0
**Total Reviews:** 1

**Who Is the Company Behind Drai?**

- **Seller:** [DrAI](https://www.g2.com/sellers/drai)
- **HQ Location:** N/A
- **LinkedIn® Page:** https://www.linkedin.com/company/No-Linkedin-Presence-Added-Intentionally-By-DataOps (1 employees on LinkedIn®)

**Who Uses This Product?**
- **Company Size:** 50% Enterprise, 50% Mid-Market



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

**"[Text data analysis platform](https://www.g2.com/survey_responses/drai-review-5191872)"**

**Rating:** 4.0/5.0 stars
*— Ali M.*

[Read full review](https://www.g2.com/survey_responses/drai-review-5191872)

---

**"[Scanning discourses](https://www.g2.com/survey_responses/drai-review-4499818)"**

**Rating:** 5.0/5.0 stars
*— Jussi K.*

[Read full review](https://www.g2.com/survey_responses/drai-review-4499818)

---


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

- [What is Drai used for?](https://www.g2.com/discussions/what-is-drai-used-for)

### 2. [ECO](https://www.g2.com/products/eco/reviews)
We go beyond NLP to provide AI solutions to corporations and users around the world. Our clients gain actionable insights from data and embed language, anonymization, key data extraction and summarization capabilities in their processes.


**Average Rating:** 5.0/5.0
**Total Reviews:** 1

**Who Is the Company Behind ECO?**

- **Seller:** [PANGEANIC BI EUROPA](https://www.g2.com/sellers/pangeanic-bi-europa)
- **HQ Location:** N/A
- **LinkedIn® Page:** https://www.linkedin.com/company/No-Linkedin-Presence-Added-Intentionally-By-DataOps (1 employees on LinkedIn®)

**Who Uses This Product?**
- **Company Size:** 100% Small-Business



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

**"[Smart plataform for document processing](https://www.g2.com/survey_responses/eco-review-8712886)"**

**Rating:** 5.0/5.0 stars
*— Manuel Y.*

[Read full review](https://www.g2.com/survey_responses/eco-review-8712886)

---



### 3. [Eigen](https://www.g2.com/products/eigen/reviews)
Use Eigen to extract your data from diverse documents quickly and accurately. Equip yourself with the answers you need to meet your most critical business challenges. We address a broad set of challenges across financial services, legal, insurance, and other professional services sectors. Our clients make better decisions by unlocking the value of their qualitative data.


**Average Rating:** 4.3/5.0
**Total Reviews:** 5
**How Do G2 Users Rate Eigen?**

- **Has the product been a good partner in doing business?:** 6.7/10 (Category avg: 9.0/10)

**Who Is the Company Behind Eigen?**

- **Seller:** [Eigen Technologies](https://www.g2.com/sellers/eigen-technologies)
- **Year Founded:** 2015
- **HQ Location:** N/A
- **LinkedIn® Page:** https://www.linkedin.com/company/eigen-technologies/ (4 employees on LinkedIn®)

**Who Uses This Product?**
- **Company Size:** 40% Mid-Market, 40% Small-Business


#### What Are Eigen's Pros and Cons?

**Pros:**

- Data Management (2 reviews)
- Helpful (2 reviews)
- Analytics (1 reviews)
- Categorization (1 reviews)
- Ease of Learning (1 reviews)

**Cons:**

- Expensive (2 reviews)
- Difficult Learning (1 reviews)
- Documentation Issues (1 reviews)
- Learning Curve (1 reviews)
- Limited Customization (1 reviews)


### What Do G2 Reviewers Say About Eigen?
*AI-generated summary from verified user reviews*

**Pros:**

- Users find Eigen's **data management capabilities** invaluable for organizing data and enhancing decision-making processes.
- Users find Eigen **very helpful** for efficient data management, significantly improving analysis and report preparation.
- Users find Eigen's **analytics tools invaluable** for effective data management and informed decision-making.
- Users find Eigen excellent for **data categorization** , making organization into tables easy and efficient.
- Users find Eigen's **ease of learning** beneficial, making it simple to adapt and use effectively.

**Cons:**

- Users feel that Eigen is **a little bit expensive** and suggest lowering the prices for better accessibility.
- Users find **difficult learning** curves challenging, taking time to grasp how to effectively utilize Eigen.
- Users find **documentation issues** with Eigen, as some templates fail to meet specific contract requirements.
- Users find the **learning curve steep** , requiring time to fully grasp how to use Eigen effectively.
- Users find the **limited customization** of Eigen's templates restricts their ability to meet specific document requirements.

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

**"[helpful tool for data management](https://www.g2.com/survey_responses/eigen-review-10609750)"**

**Rating:** 5.0/5.0 stars
*— Gauri G.*

[Read full review](https://www.g2.com/survey_responses/eigen-review-10609750)

---

**"[Does what you need](https://www.g2.com/survey_responses/eigen-review-11035414)"**

**Rating:** 4.0/5.0 stars
*— Maria Z.*

[Read full review](https://www.g2.com/survey_responses/eigen-review-11035414)

---



### 4. [Finch for Text](https://www.g2.com/products/finch-for-text/reviews)
Finch for Text® is powerful natural language processing software that makes human-generated text machine readable. It works on multiple types of unstructured text, in multiple languages, and gives users the ability to glean real-time insights from their informational assets. It works on enterprise-scale volumes of text, whether it’s streaming or static, and is easily integrated and customizable for specific domains.


**Average Rating:** 4.5/5.0
**Total Reviews:** 1

**Who Is the Company Behind Finch for Text?**

- **Seller:** [Finch Computing](https://www.g2.com/sellers/finch-computing)
- **Year Founded:** 2014
- **HQ Location:** Reston, US
- **Twitter:** @FinchComputing (222 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/finch-computing (41 employees on LinkedIn®)

**Who Uses This Product?**
- **Company Size:** 100% Enterprise



#### What Are Recent G2 Reviews of Finch for Text?

**"[FinchDB helped us improve search for experienced and non-experienced searchers](https://www.g2.com/survey_responses/finch-for-text-review-5390148)"**

**Rating:** 4.5/5.0 stars
*— Chasity A. J.*

[Read full review](https://www.g2.com/survey_responses/finch-for-text-review-5390148)

---


#### What Are G2 Users Discussing About Finch for Text?

- [What is Finch for Text used for?](https://www.g2.com/discussions/what-is-finch-for-text-used-for)

### 5. [Greenlight Coverage](https://www.g2.com/products/greenlight-coverage/reviews)
Greenlight Coverage is an AI-powered script analysis platform built specifically for screenwriters, producers, and storytellers working on film and TV projects. Whether you're polishing a final draft or just getting started, Greenlight Coverage gives you the professional-grade insights of traditional script coverage in minutes, not days. Upload your script and get instant feedback on story structure, characters, dialogue, pacing, and more. The Greenlight Coverage full-context reviewer reads your screenplay in its entirety, enabling nuanced analysis and suggestions that reflect your creative intent. You can revise, re-upload, and even ask follow-up questions to explore the feedback in more depth. With built-in tools for proofreading, rewrite tracking, and even budget and financial forecasting, Greenlight Coverage helps you write smarter and plan better. All while keeping your script 100% confidential and secure.


**Average Rating:** 5.0/5.0
**Total Reviews:** 1
**How Do G2 Users Rate Greenlight Coverage?**

- **Custom Extension:** 10.0/10 (Category avg: 8.1/10)
- **Compositionality:** 10.0/10 (Category avg: 8.3/10)
- **Pre-Built Parameterization:** 10.0/10 (Category avg: 8.3/10)

**Who Is the Company Behind Greenlight Coverage?**

- **Seller:** [Greenlight Coverage](https://www.g2.com/sellers/greenlight-coverage)
- **HQ Location:** 151 Charles St W, Kitchener, ON N2G 1H6, Canada
- **LinkedIn® Page:** https://www.linkedin.com/company/greenlight-coverage/

**Who Uses This Product?**
- **Company Size:** 100% Small-Business


#### What Are Greenlight Coverage's Pros and Cons?

**Pros:**

- AI Technology (1 reviews)
- Insights Analysis (1 reviews)



### What Do G2 Reviewers Say About Greenlight Coverage?
*AI-generated summary from verified user reviews*

**Pros:**

- Users commend the **insightful analysis and understanding** of thematic elements provided by Greenlight Coverage's AI technology.
- Users find the **insightful analysis** of Greenlight Coverage extremely thorough and advantageous for understanding themes and character arcs.


#### What Are Recent G2 Reviews of Greenlight Coverage?

**"[Thorough, Insightful, and Fair Coverage Model](https://www.g2.com/survey_responses/greenlight-coverage-review-11029256)"**

**Rating:** 5.0/5.0 stars
*— Daniel D.*

[Read full review](https://www.g2.com/survey_responses/greenlight-coverage-review-11029256)

---



### 6. [IdeaFlow](https://www.g2.com/products/gamalon-ideaflow/reviews)
The Gamalon AI Concierge is the most rapid deployment of any chat or messaging technology, and continuously improves as your team communicates with customers. Gamalon helps you understand your customers no matter where they're posting, responding to surveys, or chatting so that you can take impactful actions for them and for your business.


**Average Rating:** 5.0/5.0
**Total Reviews:** 1
**How Do G2 Users Rate IdeaFlow?**

- **Custom Extension:** 8.3/10 (Category avg: 8.1/10)
- **Compositionality:** 6.7/10 (Category avg: 8.3/10)
- **Pre-Built Parameterization:** 8.3/10 (Category avg: 8.3/10)

**Who Is the Company Behind IdeaFlow?**

- **Seller:** [Gamalon](https://www.g2.com/sellers/gamalon)
- **Year Founded:** 2013
- **HQ Location:** Boston, US
- **Twitter:** @gamalon_inc (464 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/3571218 (6 employees on LinkedIn®)

**Who Uses This Product?**
- **Company Size:** 100% Small-Business



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

**"[Ideaflow](https://www.g2.com/survey_responses/ideaflow-review-9523665)"**

**Rating:** 5.0/5.0 stars
*— Dinesh S.*

[Read full review](https://www.g2.com/survey_responses/ideaflow-review-9523665)

---



### 7. [Information Discovery](https://www.g2.com/products/information-discovery/reviews)
Information Discovery is a leading text analytics and machine learning platform that allows you to get insights in your structured and unstructured data and explore important information in the most flexible way. Information Discovery collects and analyzes all kind of documents, such as patents, research literature, databases, websites, and other enterprise repositories


**Average Rating:** 5.0/5.0
**Total Reviews:** 1
**How Do G2 Users Rate Information Discovery?**

- **Custom Extension:** 10.0/10 (Category avg: 8.1/10)
- **Compositionality:** 10.0/10 (Category avg: 8.3/10)
- **Pre-Built Parameterization:** 10.0/10 (Category avg: 8.3/10)

**Who Is the Company Behind Information Discovery?**

- **Seller:** [Averbis](https://www.g2.com/sellers/averbis)
- **Year Founded:** 2007
- **HQ Location:** Freiburg, DE
- **LinkedIn® Page:** http://www.linkedin.com/company/averbis (23 employees on LinkedIn®)

**Who Uses This Product?**
- **Company Size:** 100% Mid-Market



#### What Are Recent G2 Reviews of Information Discovery?

**"[Reviewing Information Discovery Services](https://www.g2.com/survey_responses/information-discovery-review-9091171)"**

**Rating:** 5.0/5.0 stars
*— Aaryan J.*

[Read full review](https://www.g2.com/survey_responses/information-discovery-review-9091171)

---



### 8. [Intellexer Categorizer](https://www.g2.com/products/intellexer-categorizer/reviews)
Intellexer Categorizer is a semantic tool that automatically classifies documents by content and organizes them within categories that best fit the structure of your company and processes. For example, the categories can be Human Resources, Research and Development, Finance, Customer Feedback, Newsletters, etc.


**Average Rating:** 4.5/5.0
**Total Reviews:** 1
**How Do G2 Users Rate Intellexer Categorizer?**

- **Custom Extension:** 6.7/10 (Category avg: 8.1/10)
- **Compositionality:** 8.3/10 (Category avg: 8.3/10)
- **Pre-Built Parameterization:** 8.3/10 (Category avg: 8.3/10)

**Who Is the Company Behind Intellexer Categorizer?**

- **Seller:** [EffectiveSoft](https://www.g2.com/sellers/effectivesoft)
- **Year Founded:** 2003
- **HQ Location:** San Diego, US
- **Twitter:** @EffectiveSoft (992 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/effectivesoft (362 employees on LinkedIn®)

**Who Uses This Product?**
- **Company Size:** 100% Enterprise


#### What Are Intellexer Categorizer's Pros and Cons?

**Pros:**

- AI Technology (1 reviews)
- Categorization (1 reviews)
- Customization (1 reviews)
- Ease of Use (1 reviews)
- Easy Setup (1 reviews)

**Cons:**

- Complex Setup (1 reviews)
- Difficulty in Adjustments (1 reviews)
- Insufficient Documentation (1 reviews)


### What Do G2 Reviewers Say About Intellexer Categorizer?
*AI-generated summary from verified user reviews*

**Pros:**

- Users value the **effective AI technology** of Intellexer Categorizer, significantly enhancing document analysis and classification efficiency.
- Users love the **efficient categorization** capabilities of Intellexer Categorizer, significantly improving document management and saving time.
- Users appreciate the **customization options** of Intellexer Categorizer, allowing tailored categories and labels for efficient document management.
- Users find **ease of use** with Intellexer Categorizer, enabling quick navigation and efficient document classification even for beginners.
- Users value the **easy setup** of Intellexer Categorizer, enabling quick navigation and efficient document classification.

**Cons:**

- Users find the **complex setup** of Intellexer Categorizer confusing, requiring clearer documentation for optimal use.
- Users face **difficulty in adjustments** , finding the setup process confusing and the documentation lacking clarity.
- Users find the **insufficient documentation** challenging, often leading to confusion during setup and functionality adjustments.

#### What Are Recent G2 Reviews of Intellexer Categorizer?

**"[I propose to simplify the existing document classification systems into a few key stages.](https://www.g2.com/survey_responses/intellexer-categorizer-review-10356427)"**

**Rating:** 4.5/5.0 stars
*— Pilar P.*

[Read full review](https://www.g2.com/survey_responses/intellexer-categorizer-review-10356427)

---



### 9. [Intellexer Named Entity Recognizer](https://www.g2.com/products/intellexer-named-entity-recognizer/reviews)
Intellexer Named Entity Recognizer successfully identifies not only personal names, names of organizations and geographical locations, but also extracts such entities as positions/occupations, nationalities, dates, ages, durations and names of events. The results of the Intellexer Named Entity Recognizer can be of great value to information end-user industries of all kinds, especially banks, finance companies, publishers and governments.


**Average Rating:** 4.0/5.0
**Total Reviews:** 1
**How Do G2 Users Rate Intellexer Named Entity Recognizer?**

- **Custom Extension:** 8.3/10 (Category avg: 8.1/10)
- **Compositionality:** 8.3/10 (Category avg: 8.3/10)
- **Pre-Built Parameterization:** 8.3/10 (Category avg: 8.3/10)

**Who Is the Company Behind Intellexer Named Entity Recognizer?**

- **Seller:** [EffectiveSoft](https://www.g2.com/sellers/effectivesoft)
- **Year Founded:** 2003
- **HQ Location:** San Diego, US
- **Twitter:** @EffectiveSoft (992 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/effectivesoft (362 employees on LinkedIn®)

**Who Uses This Product?**
- **Company Size:** 100% Enterprise


#### What Are Intellexer Named Entity Recognizer's Pros and Cons?

**Pros:**

- NLP Capabilities (1 reviews)

**Cons:**

- Limited Customization (1 reviews)


### What Do G2 Reviewers Say About Intellexer Named Entity Recognizer?
*AI-generated summary from verified user reviews*

**Pros:**

- Users value the **effective processing of raw text** into structured data for various NLP applications.

**Cons:**

- Users face **limited customization** options with Intellexer, restricting adaptations for unique requirements.

#### What Are Recent G2 Reviews of Intellexer Named Entity Recognizer?

**"[Experience with  Intellexer Named Entity Recognizer](https://www.g2.com/survey_responses/intellexer-named-entity-recognizer-review-10716147)"**

**Rating:** 4.0/5.0 stars
*— Verified User in Information Technology and Services*

[Read full review](https://www.g2.com/survey_responses/intellexer-named-entity-recognizer-review-10716147)

---



### 10. [Kensho NERD](https://www.g2.com/products/kensho-nerd/reviews)
Kensho NERD is an advanced machine learning system designed to extract and link entities—such as companies, people, organizations, events, and places—from unstructured text. By connecting these entities to comprehensive databases like S&P Capital IQ and Wikimedia, NERD transforms raw text into structured, actionable insights, enhancing research capabilities and decision-making processes. Key Features and Functionality: - Entity Recognition and Disambiguation: Accurately identifies entities within text and resolves ambiguities, including abbreviations, acronyms, aliases, and historical names. - Database Integration: Links recognized entities to S&P Capital IQ and Wikimedia databases, providing enriched context and deeper insights. - Context-Aware Processing: Utilizes surrounding text to enhance entity disambiguation, improving accuracy in complex documents. - API Accessibility: Offers a REST API for seamless integration into various workflows, supporting both real-time and batch processing. - Scalability: Capable of processing millions of pages daily, suitable for enterprise-scale operations. Primary Value and Problem Solved: NERD addresses the challenge of deriving meaningful insights from vast amounts of unstructured text data. By automating the identification and linking of entities, it streamlines manual workflows, enhances data discoverability, and empowers organizations to make informed decisions based on comprehensive, structured information.


**Average Rating:** 4.5/5.0
**Total Reviews:** 1

**Who Is the Company Behind Kensho NERD?**

- **Seller:** [Kensho Technologies](https://www.g2.com/sellers/kensho-technologies)
- **Year Founded:** 2013
- **HQ Location:** Cambridge, Massachusetts, United States
- **Twitter:** @kensho (7,261 Twitter followers)
- **LinkedIn® Page:** https://linkedin.com/company/kensho-technologies (161 employees on LinkedIn®)

**Who Uses This Product?**
- **Company Size:** 100% Small-Business



#### What Are Recent G2 Reviews of Kensho NERD?

**"[Kensho SEM/SEO platform](https://www.g2.com/survey_responses/kensho-nerd-review-4977064)"**

**Rating:** 4.5/5.0 stars
*— Verified User in Automotive*

[Read full review](https://www.g2.com/survey_responses/kensho-nerd-review-4977064)

---



### 11. [Labelf](https://www.g2.com/products/labelf/reviews)
Labelf is a no code AI text classification tool that let's you train the latest and greatest AI models in an afternoon based on your own data. The most popular use case is to interpret, analyze and automate customer support workflows based on calls, mail or chats. This gives you an advantage to understand what it is that drives a negative customer experience. The AI models works on 100+ languages and you can use the same model for multiple languages at the same time.


**Average Rating:** 3.5/5.0
**Total Reviews:** 1
**How Do G2 Users Rate Labelf?**

- **Custom Extension:** 6.7/10 (Category avg: 8.1/10)
- **Compositionality:** 8.3/10 (Category avg: 8.3/10)
- **Pre-Built Parameterization:** 5.0/10 (Category avg: 8.3/10)

**Who Is the Company Behind Labelf?**

- **Seller:** [Labelf](https://www.g2.com/sellers/labelf)
- **Year Founded:** 2021
- **HQ Location:** Stockholm, SE
- **Twitter:** @LabelfAI (243 Twitter followers)
- **LinkedIn® Page:** https://se.linkedin.com/company/labelf (5 employees on LinkedIn®)

**Who Uses This Product?**
- **Company Size:** 100% Small-Business





### 12. [Luminosos Daylight](https://www.g2.com/products/luminosos-daylight/reviews)
Luminoso Analytics applies artificial intelligence (AI) and natural language understanding (NLU) to accurately analyze text-based data for any industry without lengthy setup time or training. Luminoso Analytics allows clients to easily upload, process, analyze, and visualize batches or streams of unstructured data. Compass can analyze any type text-based data, including open-ended survey responses, call transcripts, chatbot or live chat transcripts, product reviews, articles, emails, and NPS open-ends. Data can be processed natively in 13 languages, including Chinese, Korean, Japanese, and Arabic. Companies use Luminoso Analytics to surface key topics and concepts in data, uncover and monitor trends over time, dig into nuanced emotions and their root causes, and identify key differences across metadata. There are many ways customers utilize the insights that Analytics uncovers including brand monitoring, churn and retention analysis, issue detection and monitoring, and identifying root drivers of NPS scores to name a few.  The product is flexible and can be deployed in standard or private Cloud or On-premise solution, or integrated into an end-to-end platform via the API.


**Average Rating:** 4.0/5.0
**Total Reviews:** 1

**Who Is the Company Behind Luminosos Daylight?**

- **Seller:** [Luminoso](https://www.g2.com/sellers/luminoso)
- **Year Founded:** 2010
- **HQ Location:** Boston, US
- **Twitter:** @LuminosoInsight (1,610 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/luminosotech/ (24 employees on LinkedIn®)

**Who Uses This Product?**
- **Company Size:** 100% Enterprise



#### What Are Recent G2 Reviews of Luminosos Daylight?

**"[Luminoso Daylight Review](https://www.g2.com/survey_responses/luminosos-daylight-review-5404680)"**

**Rating:** 4.0/5.0 stars
*— Verified User in Hospitality*

[Read full review](https://www.g2.com/survey_responses/luminosos-daylight-review-5404680)

---


#### What Are G2 Users Discussing About Luminosos Daylight?

- [What is Luminosos Daylight used for?](https://www.g2.com/discussions/what-is-luminosos-daylight-used-for)

### 13. [mAdvisor](https://www.g2.com/products/madvisor/reviews)
mAdvisor is an AI & cognitive computing platform, which helps enterprises to translate data into meaningful insights and learns as it goes.


**Average Rating:** 4.0/5.0
**Total Reviews:** 1
**How Do G2 Users Rate mAdvisor?**

- **Has the product been a good partner in doing business?:** 8.3/10 (Category avg: 9.0/10)
- **Custom Extension:** 6.7/10 (Category avg: 8.1/10)
- **Compositionality:** 6.7/10 (Category avg: 8.3/10)
- **Pre-Built Parameterization:** 8.3/10 (Category avg: 8.3/10)

**Who Is the Company Behind mAdvisor?**

- **Seller:** [Marlabs](https://www.g2.com/sellers/marlabs)
- **Year Founded:** 1996
- **HQ Location:** New York, New York, United States
- **LinkedIn® Page:** https://www.linkedin.com/company/marlabs/ (2,342 employees on LinkedIn®)

**Who Uses This Product?**
- **Company Size:** 100% Mid-Market



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

**"[Personalized Financial Planning](https://www.g2.com/survey_responses/madvisor-review-10167457)"**

**Rating:** 4.0/5.0 stars
*— Anabella T.*

[Read full review](https://www.g2.com/survey_responses/madvisor-review-10167457)

---



### 14. [NetMiner](https://www.g2.com/products/netminer/reviews)
NetMiner 5 is an advanced analytics platform developed by CYRAM Inc. that combines graph theory, machine learning, and AI to analyze, visualize, and interpret network and text data. Designed for researchers, analysts, and decision-makers across academia, government, and industry, NetMiner helps users uncover complex relational and textual patterns without requiring any programming expertise. At its core, NetMiner is built around social network analysis (SNA), enabling the structural exploration of relationships between people, organizations, documents, and concepts. It supports one-mode, two-mode, and multiplex networks, and provides a wide range of SNA metrics from basic to advanced to assess individual centrality, group dynamics, and whole-network structure. NetMiner goes beyond traditional SNA by integrating machine learning (ML) and graph neural networks (GNNs). Users can easily apply supervised and unsupervised learning techniques such as classification, regression, and clustering, as well as GNN models like GCN, GraphSAGE, and GAT, for predictive modeling. In terms of text analysis, NetMiner offers powerful capabilities to extract keywords, build co-occurrence networks, generate word clouds, and perform topic modeling using LDA. This allows users to move beyond frequency-based analysis and explore the latent meaning structure in large text corpora. NetMiner includes a powerful interactive 2D visualization engine that makes network structure exploration intuitive. Nodes and links can be styled by centrality, frequency, or categories, and users can zoom, filter, and drag to explore key actors and patterns. These visualizations are directly linked to the data for accurate interpretation. Even with large datasets, dynamic visual analysis is possible without writing code. The built-in AI Assistant, powered by LLMs like GPT and Gemini, helps interpret results and suggests next steps—making it accessible even to users who are new to network or text analysis. NetMiner is widely used across fields including: - Academic research: sociology, communication, political science, digital humanities, education - Policy analysis and public sector planning: stakeholder mapping, policy network evaluation, community structure detection - Enterprise analysis: internal communication auditing, compliance monitoring, customer segmentation, influencer analysis - Media and social media analysis: opinion leader detection, information diffusion, discourse analysis - Cybersecurity and anomaly detection: email network analysis, abnormal behavior pattern identification NetMiner supports importing and exporting various file formats (CSV, Excel) and integrates with external tools via APIs and scripting. Licenses are available for students, educational institutions (schools), and organizations/corporations. More than just a network visualization tool, NetMiner is a complete analysis environment built on the foundation of network thinking. It helps users move from data to insight to action—faster, smarter, and with greater clarity. To learn more or request a demo, visit www.netminer.com


**Average Rating:** 4.5/5.0
**Total Reviews:** 1
**How Do G2 Users Rate NetMiner?**

- **Compositionality:** 8.3/10 (Category avg: 8.3/10)
- **Pre-Built Parameterization:** 5.0/10 (Category avg: 8.3/10)

**Who Is the Company Behind NetMiner?**

- **Seller:** [NetMiner](https://www.g2.com/sellers/netminer)
- **Year Founded:** 2000
- **HQ Location:** Gyeonggi-do, South Korea
- **Twitter:** @netminer (230 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/netminer (1 employees on LinkedIn®)

**Who Uses This Product?**
- **Company Size:** 100% Small-Business



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

**"[As they say, they make the invisible visible.](https://www.g2.com/survey_responses/netminer-review-7427362)"**

**Rating:** 4.5/5.0 stars
*— Harsh G.*

[Read full review](https://www.g2.com/survey_responses/netminer-review-7427362)

---



### 15. [NetOwl TextMiner](https://www.g2.com/products/netowl-textminer/reviews)
NetOwl TextMiner is a powerful text mining solution that enables users to find, organize, analyze, and mine a large volume of unstructured information. TextMiner integrates state-of-the-art data analysis tools within a robust, scalable architecture. The user gains quick access to all and only high-value information by means of an innovative and easy-to-use Web-based interface that promotes the rapid navigation of large amounts of textual data. It is ideal for supporting 'what if' analysis, discovery, quick response investigation, and detailed research.


**Average Rating:** 5.0/5.0
**Total Reviews:** 1
**How Do G2 Users Rate NetOwl TextMiner?**

- **Custom Extension:** 10.0/10 (Category avg: 8.1/10)
- **Compositionality:** 10.0/10 (Category avg: 8.3/10)
- **Pre-Built Parameterization:** 10.0/10 (Category avg: 8.3/10)

**Who Is the Company Behind NetOwl TextMiner?**

- **Seller:** [NetOwl](https://www.g2.com/sellers/netowl)
- **Year Founded:** 1996
- **HQ Location:** Falls Church, US
- **Twitter:** @NetOwlAnalytics (102 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/netowl (2 employees on LinkedIn®)

**Who Uses This Product?**
- **Company Size:** 100% Small-Business



#### What Are Recent G2 Reviews of NetOwl TextMiner?

**"[NetOwl review](https://www.g2.com/survey_responses/netowl-textminer-review-9310423)"**

**Rating:** 5.0/5.0 stars
*— Vaibhav S.*

[Read full review](https://www.g2.com/survey_responses/netowl-textminer-review-9310423)

---



### 16. [NewSci AI-Readines Services](https://www.g2.com/products/newsci-ai-readines-services/reviews)
All the talk about qualitative data analysis is for naught if you can’t understand language as it is spoken. That is what Natural Language Processing (NLP) is all about. NewSci NLP brings this power to organization’s seeking to extract insights from their unstructured data. Just as you know what a person is saying when you hear, “I’m hungry, I want an apple” vs. “I really want an Apple™ instead of a PC,” so now can a computer. NewSci NLP enables a computer to understand the people, places, and things important to your organization. This, in turn, allows your unstructured data to be analyzed just like your structured data. With NewSci NLP your organization will enjoy qualitative analysis (the Why behind the numbers) alongside your quantitative analytics. Uses models customized to your organization; the domain in which you operate; the quality of your recordings; and even local and regional dialects to deliver the highest level of transcription accuracy. Captures your organization’s domain and unique characteristics to enable deep Natural Language Understanding analysis and Natural Language Generation. Your NewSci Ontology will be your Rosetta Stone for unlocking the value hidden in your unstructured data. The NewSci Insight Reservoir™ brings governance and insight to the data lake. You enjoy all the benefits of a state-of-the-art Big Data lake including access to hundreds of data connectors for ingesting information; transformation tools for quality assurance and data enhancement; and cataloging of your data down to the field level while at the same time having unmatched data governance capabilities: Unlike a passive data lake, the NewSci Insight Reservoir™ is a powerful cognitive computing platform where you can perform machine learning; deep learning; and natural language processing on all your structured and unstructured data. NewSci NLP connects directly to your NewSci Insight Reservoir™ to extract meaning from your text and make it available for analysis. Machine and Deep Learning algorithms can be created, and perfected, as data enters the Insight Reservoir™, increasing the value in real-time. And all of the insights can easily be made available for visualization tools including Tableau®, Qlik®, and MS Power- BI®. Jump out of the data lake and get your organization into the NewSci Insight Reservoir™


**Average Rating:** 4.3/5.0
**Total Reviews:** 2

**Who Is the Company Behind NewSci AI-Readines Services?**

- **Seller:** [NewSci](https://www.g2.com/sellers/newsci)
- **Year Founded:** 2013
- **HQ Location:** Tampa, US
- **Twitter:** @New_Sci (68 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/newsci-llc (2 employees on LinkedIn®)

**Who Uses This Product?**
- **Company Size:** 50% Mid-Market, 50% Small-Business



#### What Are Recent G2 Reviews of NewSci AI-Readines Services?

**"[Senior Software Developer](https://www.g2.com/survey_responses/newsci-ai-readines-services-review-741009)"**

**Rating:** 5.0/5.0 stars
*— Verified User in Information Technology and Services*

[Read full review](https://www.g2.com/survey_responses/newsci-ai-readines-services-review-741009)

---


#### What Are G2 Users Discussing About NewSci AI-Readines Services?

- [What is NewSci Platform used for?](https://www.g2.com/discussions/what-is-newsci-platform-used-for)

### 17. [Nia DocAI](https://www.g2.com/products/nia-docai/reviews)
With its advanced AI capabilities that use an ensemble of various Machine Learning and Deep Learning based techniques, flexible data management and analytics pipelines, Nia DocAI structures world’s complex multi-document data, makes it consumption ready to unlock the latent business value.


**Average Rating:** 5.0/5.0
**Total Reviews:** 1
**How Do G2 Users Rate Nia DocAI?**

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

**Who Is the Company Behind Nia DocAI?**

- **Seller:** [Nia DocAI](https://www.g2.com/sellers/nia-docai)
- **Year Founded:** 2014
- **HQ Location:** Bangalore, IN
- **LinkedIn® Page:** https://www.linkedin.com/company/edgeverve (2,502 employees on LinkedIn®)

**Who Uses This Product?**
- **Company Size:** 100% Mid-Market



#### What Are Recent G2 Reviews of Nia DocAI?

**"[Is Nia DocAI Really Useful ?](https://www.g2.com/survey_responses/nia-docai-review-8297397)"**

**Rating:** 5.0/5.0 stars
*— Prashant B.*

[Read full review](https://www.g2.com/survey_responses/nia-docai-review-8297397)

---



### 18. [PolyAnalyst for Text](https://www.g2.com/products/polyanalyst-for-text/reviews)
PolyAnalyst and PolyAnalyst for Text is the leading system for extracting actionable knowledge hidden in piles of free text and structured data. Whatever your data source, challenge, or skill level, PolyAnalyst is the tool of choice for turning data into valuable business insight. - Access nearly any source of data, and merge data from different sources - Whip dirty data into shape with powerful data cleansing operations, such as imputing missing values and correcting spelling errors - Choose from a broad selection of statistical and machine-learning algorithms, replete with several cutting-edge natural language processing tools - Create stunning reports that summarize and communicate your insight


**Average Rating:** 4.0/5.0
**Total Reviews:** 1

**Who Is the Company Behind PolyAnalyst for Text?**

- **Seller:** [Megaputer Intelligence](https://www.g2.com/sellers/megaputer-intelligence)
- **Year Founded:** 1997
- **HQ Location:** Bloomington, US
- **Twitter:** @Megaputer (114 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/megaputer-intelligence (51 employees on LinkedIn®)

**Who Uses This Product?**
- **Company Size:** 100% Enterprise



#### What Are Recent G2 Reviews of PolyAnalyst for Text?

**"[Intuitive text analyzer with almost perfect accuracy](https://www.g2.com/survey_responses/polyanalyst-for-text-review-7421349)"**

**Rating:** 4.0/5.0 stars
*— Verified User in Accounting*

[Read full review](https://www.g2.com/survey_responses/polyanalyst-for-text-review-7421349)

---



### 19. [Provalis Research MSVP](https://www.g2.com/products/provalis-research-msvp/reviews)
MVSP is an inexpensive yet powerful multivariate analysis program for PC compatibles that performs a variety of ordination and cluster analyses. It provides an easy means of analyzing your data in fields ranging from ecology and geology to sociology and market research. MVSP is in use at hundreds of sites in over 50 countries.


**Average Rating:** 4.0/5.0
**Total Reviews:** 1
**How Do G2 Users Rate Provalis Research MSVP?**

- **Custom Extension:** 8.3/10 (Category avg: 8.1/10)
- **Compositionality:** 8.3/10 (Category avg: 8.3/10)
- **Pre-Built Parameterization:** 8.3/10 (Category avg: 8.3/10)

**Who Is the Company Behind Provalis Research MSVP?**

- **Seller:** [Provalis Research](https://www.g2.com/sellers/provalis-research-c6b9ceed-0714-4127-8c5d-71a2b9f7ecd4)
- **Year Founded:** 1989
- **HQ Location:** Montreal, CA
- **Twitter:** @ProvalisRes (884 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/provalis-research (3 employees on LinkedIn®)

**Who Uses This Product?**
- **Company Size:** 100% Small-Business


#### What Are Provalis Research MSVP's Pros and Cons?

**Pros:**

- Insights Analysis (1 reviews)
- Modeling (1 reviews)
- NLP Capabilities (1 reviews)
- Sentiment Analysis (1 reviews)

**Cons:**

- Insufficient Training (1 reviews)
- Navigation Difficulty (1 reviews)


### What Do G2 Reviewers Say About Provalis Research MSVP?
*AI-generated summary from verified user reviews*

**Pros:**

- Users praise the **strong pattern identification** capabilities of Provalis Research MSVP, enhancing insights from complex qualitative data.
- Users appreciate the **powerful pattern recognition** in Provalis Research MSVP, enabling deep insights into qualitative data.
- Users praise the **advanced NLP capabilities** of Provalis Research MSVP, enabling deep insights from complex qualitative data.
- Users value the **powerful sentiment analysis** capabilities of Provalis Research MSVP for deep insights into qualitative data.

**Cons:**

- Users find navigating MSVP's advanced features challenging due to **insufficient training materials** , especially for beginners.
- Users find that navigating the **advanced features can be challenging** for newcomers, suggesting the need for tutorials.

#### What Are Recent G2 Reviews of Provalis Research MSVP?

**"[Found text mining capabilities very powerful. Has a user friendly interface & quick data integration](https://www.g2.com/survey_responses/provalis-research-msvp-review-10579823)"**

**Rating:** 4.0/5.0 stars
*— Mehreen B.*

[Read full review](https://www.g2.com/survey_responses/provalis-research-msvp-review-10579823)

---



### 20. [Pryon](https://www.g2.com/products/pryon/reviews)
Pryon is an enterprise-ready AI platform that provides precise and trustworthy answers from and attributed to your organization’s trusted content. Designed since its inception to provide answers based on your truths and policies, the Pryon platform is free of “hallucinations” and provides greater than 90% accuracy out of the box according to an independent study by EY. With no additional code required, Pryon delivers value to our customers in days.


**Average Rating:** 5.0/5.0
**Total Reviews:** 1

**Who Is the Company Behind Pryon?**

- **Seller:** [Pryon](https://www.g2.com/sellers/pryon)
- **Year Founded:** 2017
- **HQ Location:** Raleigh, North Carolina, United States
- **LinkedIn® Page:** https://www.linkedin.com/company/pryon/ (135 employees on LinkedIn®)

**Who Uses This Product?**
- **Company Size:** 100% Mid-Market


#### What Are Pryon's Pros and Cons?

**Pros:**

- Accuracy (1 reviews)



### What Do G2 Reviewers Say About Pryon?
*AI-generated summary from verified user reviews*

**Pros:**

- Users praise the **accuracy** of Pryon, noting it delivers relevant answers quickly and effectively.


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

**"[One stop solution with Pryon insights](https://www.g2.com/survey_responses/pryon-review-9566642)"**

**Rating:** 5.0/5.0 stars
*— Prerona M.*

[Read full review](https://www.g2.com/survey_responses/pryon-review-9566642)

---



### 21. [QInsights](https://www.g2.com/products/qinsights/reviews)
QInsights is an AI-powered qualitative data analysis platform for researchers, evaluators, consultants, insight teams, non-profits, universities, and organizations working with unstructured data. The platform helps users analyze interviews, focus groups, open-ended survey responses, customer feedback, employee feedback, stakeholder conversations, reports, and documents. Instead of relying on generic AI summaries or one-click automation, QInsights supports a researcher-led workflow where users can generate themes, ask questions to their data, compare cases, explore patterns, and trace findings back to the original source material. QInsights is designed for projects where transparency, evidence, and interpretive control matter. AI-generated outputs remain linked to the uploaded data, allowing users to inspect supporting references and validate findings. This makes QInsights especially useful for qualitative research, evaluation studies, stakeholder analysis, customer insight work, UX research, organizational research, and applied research projects where results need to be defensible. Core features include Theme Analysis, Conversational Analysis, Grid Analysis, Sentiment Analysis, Guided Analysis, metadata-aware exploration, team collaboration, and an Analysis Archive. Users can move from broad themes to deeper follow-up questions, compare responses across cases or groups, and build findings through an iterative dialogue with the data. The guiding principle behind QInsights is human-AI collaboration. The AI supports retrieval, structure, synthesis, and analytic questioning, while the researcher remains responsible for interpretation. QInsights helps teams work more efficiently with qualitative data without losing methodological control.


**Average Rating:** 4.5/5.0
**Total Reviews:** 1

**Who Is the Company Behind QInsights?**

- **Seller:** [QInsights](https://www.g2.com/sellers/qinsights)
- **Year Founded:** 2024
- **HQ Location:** Rotterdam, NL
- **LinkedIn® Page:** https://www.linkedin.com/company/qinsights-ai (5 employees on LinkedIn®)

**Who Uses This Product?**
- **Company Size:** 100% Enterprise



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

**"[QInsights Unlocks Information in Documents With Theme Analysis and Q&A](https://www.g2.com/survey_responses/qinsights-review-12894832)"**

**Rating:** 4.5/5.0 stars
*— René v.*

[Read full review](https://www.g2.com/survey_responses/qinsights-review-12894832)

---



### 22. [Quilt](https://www.g2.com/products/quilt-ai/reviews)
The Quilt.AI platform indexes and clusters millions of human conversations and expressions across public social, news, blog, institutional sources, and search engine trails.


**Average Rating:** 4.0/5.0
**Total Reviews:** 1

**Who Is the Company Behind Quilt?**

- **Seller:** [Quilt.AI](https://www.g2.com/sellers/quilt-ai)
- **Year Founded:** 2017
- **HQ Location:** Singapore, SG
- **LinkedIn® Page:** https://www.linkedin.com/company/quiltdotai/ (80 employees on LinkedIn®)

**Who Uses This Product?**
- **Company Size:** 100% Mid-Market



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

**"[Gives a bigger & better picture of your data.](https://www.g2.com/survey_responses/quilt-review-5208469)"**

**Rating:** 4.0/5.0 stars
*— Swati R.*

[Read full review](https://www.g2.com/survey_responses/quilt-review-5208469)

---



### 23. [RavenPack](https://www.g2.com/products/ravenpack/reviews)
RavenPack is the leading big data analytics provider for financial services. Financial professionals rely on RavenPack for its speed and accuracy in analyzing large amounts of unstructured content.


**Average Rating:** 4.5/5.0
**Total Reviews:** 1

**Who Is the Company Behind RavenPack?**

- **Seller:** [RavenPack](https://www.g2.com/sellers/ravenpack)
- **Year Founded:** 2003
- **HQ Location:** Marbella, ES
- **LinkedIn® Page:** https://www.linkedin.com/company/RavenPack (230 employees on LinkedIn®)

**Who Uses This Product?**
- **Company Size:** 100% Small-Business



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

**"[Awesome Data Analytics Tool](https://www.g2.com/survey_responses/ravenpack-review-6621630)"**

**Rating:** 4.5/5.0 stars
*— Verified User in Market Research*

[Read full review](https://www.g2.com/survey_responses/ravenpack-review-6621630)

---


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

- [What is RavenPack used for?](https://www.g2.com/discussions/what-is-ravenpack-used-for)

### 24. [Receptiviti](https://www.g2.com/products/receptiviti/reviews)
Receptiviti provides the only scientifically validated platform that transforms virtually any language data into actionable psychological insights, offering unparalleled measurement of personality, drivers of behavior, and thinking styles. Everything we do is built on decades of academic research and our core science, LIWC, is the world’s most extensively validated method for language analysis. Our platform enables transformative insights and predictive indicators without the need for training data, making it adaptable to many use cases.


**Average Rating:** 5.0/5.0
**Total Reviews:** 1
**How Do G2 Users Rate Receptiviti?**

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

**Who Is the Company Behind Receptiviti?**

- **Seller:** [Receptiviti](https://www.g2.com/sellers/receptiviti)
- **Year Founded:** 2015
- **HQ Location:** Toronto, CA
- **Twitter:** @Receptiviti (497 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/receptiviti (14 employees on LinkedIn®)

**Who Uses This Product?**
- **Company Size:** 100% Small-Business


#### What Are Receptiviti's Pros and Cons?

**Pros:**

- Customer Support (1 reviews)
- Insights Analysis (1 reviews)



### What Do G2 Reviewers Say About Receptiviti?
*AI-generated summary from verified user reviews*

**Pros:**

- Users praise Receptiviti's **excellent customer support** that ensures a seamless experience and enhances client insights.
- Users value the **enhanced insights** from Receptiviti that support clients with a competitive advantage and excellent customer service.


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

**"[Next Level Insights](https://www.g2.com/survey_responses/receptiviti-review-11667600)"**

**Rating:** 5.0/5.0 stars
*— Verified User in Sports*

[Read full review](https://www.g2.com/survey_responses/receptiviti-review-11667600)

---



### 25. [StratosIQ](https://www.g2.com/products/stratosiq/reviews)
StratosIQ https://stratosiq.ai/ is your ultimate AI assistant for product development, designed to transform how businesses approach market and product research today, with a roadmap to assist in every step of the product lifecycle tomorrow.Whether you’re a product manager, entrepreneur, or developer, StratosIQ empowers you to strategize smarter, innovate faster, and make data-driven decisions confidently. With a simple yet powerful interface, StratosIQ leverages cutting-edge AI technologies like machine learning (ML), natural language processing (NLP), and generative AI alongside custom-trained Large Language Models (LLMs) tailored for specific domains to deliver real-time, accurate insights. As of now, its primary focus is on market and product research, but it will soon extend into feature development, requirements generation, test plans, and detailed product specifications—providing a seamless AI-driven experience from idea to execution.


**Average Rating:** 5.0/5.0
**Total Reviews:** 4
**How Do G2 Users Rate StratosIQ?**

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

**Who Is the Company Behind StratosIQ?**

- **Seller:** [StratosIQ](https://www.g2.com/sellers/stratosiq)
- **HQ Location:** San Marcos, US
- **LinkedIn® Page:** https://www.linkedin.com/company/stratosiq (2 employees on LinkedIn®)

**Who Uses This Product?**
- **Company Size:** 50% Enterprise, 25% Mid-Market


#### What Are StratosIQ's Pros and Cons?

**Pros:**

- Efficiency (3 reviews)
- Helpful (3 reviews)
- Speed (3 reviews)
- Accuracy (2 reviews)
- Ease of Use (2 reviews)

**Cons:**

- Update Issues (1 reviews)


### What Do G2 Reviewers Say About StratosIQ?
*AI-generated summary from verified user reviews*

**Pros:**

- Users appreciate the **efficiency** of StratosIQ, significantly reducing project initiation time with valuable insights and resources.
- Users appreciate the **time-saving capabilities** of StratosIQ, enabling faster project initiation with valuable industry insights.
- Users praise StratosIQ for its **speedy information gathering** , enabling quicker project proposals and efficient data processing.
- Users appreciate the **accuracy** of StratosIQ, which streamlines research and enhances project efficiency significantly.
- Users commend the **ease of use** of StratosIQ, appreciating its user-friendly interface and efficient data processing.

**Cons:**

- Users find the **frequent updates** of StratosIQ can lead to inconsistent experiences with each new version.

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

**"[Accept nothing less than StratosIQ](https://www.g2.com/survey_responses/stratosiq-review-10896160)"**

**Rating:** 5.0/5.0 stars
*— David R.*

[Read full review](https://www.g2.com/survey_responses/stratosiq-review-10896160)

---

**"[I used StratosIQ to do basic research and found the results to be fast and accurate](https://www.g2.com/survey_responses/stratosiq-review-10813131)"**

**Rating:** 5.0/5.0 stars
*— Denny J.*

[Read full review](https://www.g2.com/survey_responses/stratosiq-review-10813131)

---




## What Is Text Analysis Software?

[Analytics Tools & Software](https://www.g2.com/categories/analytics-tools-software)

## What Software Categories Are Similar to Text Analysis Software?

- [Enterprise Feedback Management Software](https://www.g2.com/categories/enterprise-feedback-management)
- [Data Visualization Tools](https://www.g2.com/categories/data-visualization-tools)
- [Analytics Platforms](https://www.g2.com/categories/analytics-platforms)
- [Data Science and Machine Learning Platforms](https://www.g2.com/categories/data-science-and-machine-learning-platforms)
- [Conversation Intelligence Software](https://www.g2.com/categories/conversation-intelligence)
- [Experience Management Software](https://www.g2.com/categories/experience-management)
- [Feedback Analytics Software](https://www.g2.com/categories/feedback-analytics)


---

## 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.