# Best Text Analysis Software - Page 4 *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=156788&focus%5B%5D=170171&focus%5B%5D=168405&focus%5B%5D=104578) Highlighted products: SAS Viya, Amazon Comprehend, Chattermill, Google Cloud Natural Language API, Caplena, Canvs, 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=caplena&focus%5B%5D=canvs-ai-canvs&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 18, 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. ## Which Text Analysis Software Is Best for Your Use Case? - **Leader:** [SAS Viya](https://www.g2.com/products/sas-sas-viya/reviews) - **Highest Performer:** [Caplena](https://www.g2.com/products/caplena/reviews) - **Easiest to Use:** [Kimola](https://www.g2.com/products/kimola/reviews) - **Top Trending:** [Unwrap.ai](https://www.g2.com/products/unwrap-ai/reviews) - **Best Free Software:** [Altair AI Studio](https://www.g2.com/products/rapidminer-studio/reviews) --- **Sponsored** ### Blix Blix offers an AI-powered text analysis solution designed to retrieve insights from customer feedback quickly and effortlessly. The platform automates the process of coding survey open ends, online reviews, and other textual feedback, turning them into insights without the need for manual effort. Blix’s automated topic discovery scans through open text feedback and identifies key themes and topics. Its AI-powered coding transforms unstructured text into structured, quantitative data, eliminating the need for manual coding. Users receive automated reports and summaries. The platform supports multiple languages and offers data encryption and strict confidentiality guarantees. [Visit website](https://www.g2.com/external_clickthroughs/record?secure%5Bad_program%5D=ppc&secure%5Bad_slot%5D=category_product_list&secure%5Bcategory_id%5D=1260&secure%5Bchosen_at%5D=2026-07-19T13%3A14%3A46Z&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=1393471&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%3FBBPage%3D9%26page%3D4&secure%5Btoken%5D=804059fc6bb729cc82949b61041281f7c16d5452e774cfa7f54a120e4d7d48a5&secure%5Burl%5D=https%3A%2F%2Fblix.ai&secure%5Burl_type%5D=company_website) --- ## What Are the Top-Rated Text Analysis Software Products in 2026? ### 1. [Cauliflower](https://www.g2.com/products/cauliflower/reviews) Cauliflower is the AI-native insights platform that covers the entire market research workflow, from raw data to finished presentation. The problem: Market research teams today work with five or more tools: SPSS for data preparation, Excel for tables, separate tools for text analytics, BI platforms for dashboards, and PowerPoint for presentations. This costs time, creates error sources, and makes insights hard to share. The solution: Cauliflower unites all steps in one platform with AI at its core: Automatic dataset understanding: The AI reads survey datasets (SPSS, CSV) and understands them semantically. It automatically detects question types (single choice, multiple choice, open-ended, scales), identifies matrix batteries, demographic variables, and weightings. For each variable, it generates item short labels, item long labels, and question texts. The dataset is immediately analyzable, without hours of manual configuration. Automatic open-end coding: Our proprietary in-house model automatically creates codeplans for open-ended questions, including sentiment analysis and AI-generated summaries. Codeplans remain editable after analysis, and bring your own codebook is supported. Coding feeds directly into the overall analysis. Intelligent layer: Cauliflower places a flexible knowledge layer over the raw data. This layer can be adjusted by the user without altering the original data. Data integrity is always preserved. Table books & weighting: Full cross-tabulation / table book creation. Create weighting variables based on target distributions, data weighting with automatic base/sample. Comprehensive analysis features: Significance testing, splits, table views, driver analysis (Shapley, Kruskal-Wallis, partial correlation), chart builder for complex visualizations, analysis-specific viz types (NPS, performance comparisons, tracking data), flexible filtering with pre-built filter sets, smart search across the entire dataset. AI assistant: Chat with your data in natural language. The assistant answers questions, builds new charts, and creates dashboards on demand. AI-powered reformulation of titles and comments across all visualizations simultaneously. Collaboration & output: Presentation mode, reading mode, link sharing, multiple commenting features. PPTX export with native charts and your own master template. No vendor lock-in: export results and charts anytime as CSV, Excel, PNG, or PPTX. Enterprise-ready: EU-hosted, fully GDPR-compliant, SSO integration, on-premise deployment available, bring your own LLM credentials. Zero data tracking, no third-party data sharing. Languages: Core European language support, additional languages available on request. Additional feature: Surveybot. AI-powered probing within surveys for deeper qualitative insights. Founded in 2019 in Hamburg, Germany. Trusted by leading enterprises and research agencies. **Average Rating:** 4.8/5.0 **Total Reviews:** 8 **How Do G2 Users Rate Cauliflower?** - **Has the product been a good partner in doing business?:** 9.6/10 (Category avg: 9.0/10) **Who Is the Company Behind Cauliflower?** - **Seller:** [Cauliflower](https://www.g2.com/sellers/cauliflower) - **Year Founded:** 2019 - **HQ Location:** Hamburg, Hamburg - **LinkedIn® Page:** https://www.linkedin.com/company/28898113 (9 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Market Research - **Company Size:** 40% Small-Business, 30% Mid-Market #### What Are Recent G2 Reviews of Cauliflower? **"[Great tool and outstanding customer support](https://www.g2.com/survey_responses/cauliflower-review-7021259)"** **Rating:** 4.5/5.0 stars *— Svea K.* [Read full review](https://www.g2.com/survey_responses/cauliflower-review-7021259) --- **"[With cauliflower ai you simply understand your customers much better!](https://www.g2.com/survey_responses/cauliflower-review-7021184)"** **Rating:** 4.5/5.0 stars *— Marc B.* [Read full review](https://www.g2.com/survey_responses/cauliflower-review-7021184) --- ### 2. [Duet](https://www.g2.com/products/intelus-duet/reviews) The Intelus Duet text intelligence SaaS platform allows developers and data analysts to build AI models that process text streams with either no code or low code effort. Powered by Machine Teaching, people without machine learning expertise interactively build, deploy, and update models using Intelus’s innovative, easy, 3-step process. **Average Rating:** 4.5/5.0 **Total Reviews:** 2 **How Do G2 Users Rate Duet?** - **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 Duet?** - **Seller:** [Intelus](https://www.g2.com/sellers/intelus-10116aaf-f932-412d-b610-72262a05d8cb) - **Year Founded:** 2020 - **HQ Location:** Seattle, US - **Twitter:** @IntelusInc (21 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/intelusinc (4 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 100% Small-Business #### What Are Recent G2 Reviews of Duet? **"[Duet Support Amazing](https://www.g2.com/survey_responses/duet-review-6664264)"** **Rating:** 5.0/5.0 stars *— Verified User in Pharmaceuticals* [Read full review](https://www.g2.com/survey_responses/duet-review-6664264) --- **"[Duet democratizes ML](https://www.g2.com/survey_responses/duet-review-6652826)"** **Rating:** 4.0/5.0 stars *— Verified User in E-Learning* [Read full review](https://www.g2.com/survey_responses/duet-review-6652826) --- ### 3. [Hyland Brainware](https://www.g2.com/products/hyland-brainware/reviews) For enterprise organizations who need to capture paper and digital documents, Brainware Intelligent Capture provides fast, accurate and efficient capture to help organizations get to what they really need, the data. Brainware advances the document capture process by using automation technologies, such as machine learning, to automatically classify, extract, verify and validate that data. This puts documents and data more quickly into the hands of the personnel who need it, improving response time to partners and customers and elevating business intelligence, all while reducing costs. **Average Rating:** 4.8/5.0 **Total Reviews:** 2 **How Do G2 Users Rate Hyland Brainware?** - **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 Hyland Brainware?** - **Seller:** [Hyland](https://www.g2.com/sellers/hyland-a47a4cc4-7960-4080-8278-3ba399e3d4cd) - **Year Founded:** 1991 - **HQ Location:** Westlake, OH - **Twitter:** @Hyland (13,165 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/10043/ (4,269 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 50% Small-Business, 50% Mid-Market #### What Are Recent G2 Reviews of Hyland Brainware? **"[Brainware - accurately sort paper and electronic documents](https://www.g2.com/survey_responses/hyland-brainware-review-8624696)"** **Rating:** 5.0/5.0 stars *— Nitesh R.* [Read full review](https://www.g2.com/survey_responses/hyland-brainware-review-8624696) --- **"[Highly Intelligent Capture Module](https://www.g2.com/survey_responses/hyland-brainware-review-4863546)"** **Rating:** 4.5/5.0 stars *— Mayank B.* [Read full review](https://www.g2.com/survey_responses/hyland-brainware-review-4863546) --- #### What Are G2 Users Discussing About Hyland Brainware? - [What is Brainware used for?](https://www.g2.com/discussions/what-is-brainware-used-for) - 1 comment ### 4. [InfraNodus](https://www.g2.com/products/infranodus/reviews) InfraNodus is a text network analysis platform that can generate insight from any discourse: social media discourse, search results, corporate reports, news, spreadsheets, PDF documents. It is based on representing a text as a network graph with the most relevant topical clusters and the relations between them. Using the graph it is possible to identify the structural gaps in the knowledge: the areas with a high potential for new innovative ideas. It is also possible to use this approach to better understand the context of any sentiment. **Average Rating:** 4.0/5.0 **Total Reviews:** 2 **Who Is the Company Behind InfraNodus?** - **Seller:** [Nodus Labs](https://www.g2.com/sellers/nodus-labs) - **Year Founded:** 2014 - **HQ Location:** Paris, FR - **Twitter:** @noduslabs (2,757 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/infranodus/ (4 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 100% Small-Business #### What Are Recent G2 Reviews of InfraNodus? **"[Text network analysis + AI + visualization](https://www.g2.com/survey_responses/infranodus-review-4842552)"** **Rating:** 5.0/5.0 stars *— Dmitry P.* [Read full review](https://www.g2.com/survey_responses/infranodus-review-4842552) --- **"[Awesome visualisation](https://www.g2.com/survey_responses/infranodus-review-6996239)"** **Rating:** 4.5/5.0 stars *— Santa S.* [Read full review](https://www.g2.com/survey_responses/infranodus-review-6996239) --- #### What Are G2 Users Discussing About InfraNodus? - [What is InfraNodus used for?](https://www.g2.com/discussions/what-is-infranodus-used-for) ### 5. [Keatext](https://www.g2.com/products/keatext/reviews) Keatext — Turn Feedback Into Clear, Actionable Decisions Keatext helps customer experience and employee experience teams turn large volumes of feedback into clear, prioritized actions — instantly. Instead of spending hours analyzing surveys, reviews, and support data, Keatext automatically identifies what matters most, what needs attention, and where to act first. Why Teams Choose Keatext? Traditional feedback analytics tools focus on dashboards and data. Keatext focuses on action. - No complex setup or data science required - No manual tagging or analysis - No guessing what to prioritize Keatext transforms unstructured feedback into structured insights and clear next steps — in minutes. What You Can Do With Keatext? 1. Identify What Matters Most Automatically detect key themes, sentiment, and drivers behind customer and employee feedback. 2. Prioritize What to Fix First Understand which issues have the biggest impact so teams can focus on what truly matters. 3. Generate Actionable Reports Instantly Turn insights into clear, executive-ready reports without manual effort. 4. Unify Feedback Across Sources Analyze surveys, reviews, support tickets, and other feedback channels in one place. Built for Speed and Simplicity Keatext is designed for teams that need answers quickly — not complex tools that take weeks to implement. - Intuitive interface - Fast time to value - Easy to adopt across teams A Better Alternative to Traditional Analytics Tools While many platforms provide deep analytics, they often require time, expertise, and manual effort to interpret. Keatext bridges the gap between insight and action, helping teams move from feedback to decisions — faster. Who It’s For? Customer Experience (CX) teams Employee Experience (EX) and HR teams Product and Insights teams Our Integrations - Keatext has native integrations with Qualtrics, SurveyMonkey, Zendesk, and ServiceNow - Other integrations with contact centers, help desks, and survey platforms are available upon request From Feedback to Action — Starts Here If your team is overwhelmed by feedback but lacks clear direction, Keatext gives you the clarity to act with confidence. Book a demo to see how you can turn feedback into actionable insights in minutes. **Average Rating:** 5.0/5.0 **Total Reviews:** 5 **How Do G2 Users Rate Keatext?** - **Has the product been a good partner in doing business?:** 10.0/10 (Category avg: 9.0/10) **Who Is the Company Behind Keatext?** - **Seller:** [Keatext](https://www.g2.com/sellers/keatext) - **Year Founded:** 2010 - **HQ Location:** Montréal, CA - **Twitter:** @KeatextAI (1,112 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/keatext/ (14 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 67% Small-Business, 33% Enterprise #### What Are Recent G2 Reviews of Keatext? **"[An Efficient and Responsive Turnkey Service](https://www.g2.com/survey_responses/keatext-review-12575382)"** **Rating:** 5.0/5.0 stars *— Thierry G.* [Read full review](https://www.g2.com/survey_responses/keatext-review-12575382) --- **"[Highly Effective Data Analysis That Delivers Clear, Valuable Insights](https://www.g2.com/survey_responses/keatext-review-12547487)"** **Rating:** 5.0/5.0 stars *— Omar C.* [Read full review](https://www.g2.com/survey_responses/keatext-review-12547487) --- #### What Are G2 Users Discussing About Keatext? - [What is Keatext used for?](https://www.g2.com/discussions/what-is-keatext-used-for) - 1 comment ### 6. [LInguamatics I2E](https://www.g2.com/products/linguamatics-i2e/reviews) Linguamatics, an IQVIA company, delivers market-leading Natural Language Processing-based AI platform for high-value knowledge discovery and decision support from text. We empower our customers to speed up drug development and improve patient outcomes by breaking down data silos, boosting innovation, enhancing quality, and reducing risk and complexity. **Average Rating:** 4.3/5.0 **Total Reviews:** 2 **How Do G2 Users Rate LInguamatics I2E?** - **Custom Extension:** 8.3/10 (Category avg: 8.1/10) - **Compositionality:** 8.3/10 (Category avg: 8.3/10) - **Pre-Built Parameterization:** 9.2/10 (Category avg: 8.3/10) **Who Is the Company Behind LInguamatics I2E?** - **Seller:** [Linguamatics](https://www.g2.com/sellers/linguamatics) - **HQ Location:** N/A - **Twitter:** @Linguamatics (1,210 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/linguamatics (5 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 50% Enterprise, 50% Small-Business #### What Are Recent G2 Reviews of LInguamatics I2E? **"[I2E is a text mining application](https://www.g2.com/survey_responses/linguamatics-i2e-review-8282520)"** **Rating:** 4.5/5.0 stars *— Verified User in Health, Wellness and Fitness* [Read full review](https://www.g2.com/survey_responses/linguamatics-i2e-review-8282520) --- **"[Review of Llnguamatics app](https://www.g2.com/survey_responses/linguamatics-i2e-review-8282422)"** **Rating:** 4.0/5.0 stars *— Verified User in Accounting* [Read full review](https://www.g2.com/survey_responses/linguamatics-i2e-review-8282422) --- ### 7. [MapDeduce](https://www.g2.com/products/mapdeduce/reviews) MapDeduce is an AI-powered document analysis tool designed to simplify the processing of complex texts. It enables users to upload various document types—including PDFs, DOCX, PPTX, and TXT—and swiftly obtain summaries, answers to specific questions, and identification of critical terms. Supporting multiple languages, MapDeduce caters to a global audience, making it an invaluable resource for professionals across diverse industries. Key Features and Functionality: - Document Summarization: Generates concise summaries for documents in any language, facilitating quick understanding. - Question Answering: Provides precise answers to user queries based on document content, enhancing information retrieval. - Red-Flag Term Detection: Identifies potential red-flag terms in contracts, aiding in risk assessment. - Multi-Format Support: Compatible with various file types, including PDFs, DOCX, PPTX, and TXT, ensuring versatility. - Privacy Assurance: Maintains document confidentiality by not using content for training purposes. - Chrome Extension: Offers a convenient browser extension for seamless access and use. Primary Value and User Solutions: MapDeduce streamlines the analysis of complex documents, significantly reducing the time professionals spend on manual reviews. By providing AI-generated summaries and insights, it enhances productivity and accuracy for users across various sectors, including legal, financial, and business industries. Its multilingual support and compatibility with multiple file formats make it a versatile tool for a global user base. **Average Rating:** 4.5/5.0 **Total Reviews:** 2 **How Do G2 Users Rate MapDeduce?** - **Custom Extension:** 7.5/10 (Category avg: 8.1/10) - **Compositionality:** 9.2/10 (Category avg: 8.3/10) - **Pre-Built Parameterization:** 8.3/10 (Category avg: 8.3/10) **Who Is the Company Behind MapDeduce?** - **Seller:** [MapDeduce](https://www.g2.com/sellers/mapdeduce) - **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% Mid-Market, 50% Small-Business #### What Are Recent G2 Reviews of MapDeduce? **"[The ultimate productivity tool— no need to scan through Complex Documents endlessly.](https://www.g2.com/survey_responses/mapdeduce-review-9223582)"** **Rating:** 4.5/5.0 stars *— Vanshika N.* [Read full review](https://www.g2.com/survey_responses/mapdeduce-review-9223582) --- **"[Complex Contracts Minus Decent Results](https://www.g2.com/survey_responses/mapdeduce-review-9699543)"** **Rating:** 4.5/5.0 stars *— Loucet A.* [Read full review](https://www.g2.com/survey_responses/mapdeduce-review-9699543) --- ### 8. [muText](https://www.g2.com/products/mutext/reviews) A text mining engine that enables knowledge discovery from unstructured and semi-structured data **Average Rating:** 4.0/5.0 **Total Reviews:** 2 **How Do G2 Users Rate muText?** - **Has the product been a good partner in doing business?:** 8.3/10 (Category avg: 9.0/10) - **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 muText?** - **Seller:** [Mu Sigma](https://www.g2.com/sellers/mu-sigma) - **Year Founded:** 2004 - **HQ Location:** Northbrook, US - **Twitter:** @MuSigmaInc (4,642 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/mu-sigma (3,597 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 100% Mid-Market #### What Are Recent G2 Reviews of muText? **"[muText is convenient for uses to use](https://www.g2.com/survey_responses/mutext-review-7428177)"** **Rating:** 4.5/5.0 stars *— Gagana B.* [Read full review](https://www.g2.com/survey_responses/mutext-review-7428177) --- ### 9. [NaturalText](https://www.g2.com/products/naturaltext/reviews) Natural Text uses Machine Learning algorithms to identify similar phrases/lines between patent descriptions. **Average Rating:** 4.5/5.0 **Total Reviews:** 2 **How Do G2 Users Rate NaturalText?** - **Custom Extension:** 8.3/10 (Category avg: 8.1/10) - **Compositionality:** 5.0/10 (Category avg: 8.3/10) - **Pre-Built Parameterization:** 8.3/10 (Category avg: 8.3/10) **Who Is the Company Behind NaturalText?** - **Seller:** [NaturalText](https://www.g2.com/sellers/naturaltext) - **Year Founded:** 2015 - **HQ Location:** Ellicott City, US - **Twitter:** @naturaltext (39 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/naturaltext/ (4 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 100% Small-Business #### What Are Recent G2 Reviews of NaturalText? **"[Get the crux of your document in a few seconds](https://www.g2.com/survey_responses/naturaltext-review-8905378)"** **Rating:** 5.0/5.0 stars *— Trishla S.* [Read full review](https://www.g2.com/survey_responses/naturaltext-review-8905378) --- **"[Offers tons of possibilities!](https://www.g2.com/survey_responses/naturaltext-review-8856459)"** **Rating:** 4.0/5.0 stars *— Michael D.* [Read full review](https://www.g2.com/survey_responses/naturaltext-review-8856459) --- ### 10. [NLP Studio](https://www.g2.com/products/nlp-studio/reviews) SparkCognition has developed a solution that automates workflows of unstructured data within organizations so humans can focus on high value business decisions. DeepNLP uses advanced machine learning techniques to automate the retrieval of information, classification of documents, and content analytics. **Average Rating:** 3.8/5.0 **Total Reviews:** 2 **How Do G2 Users Rate NLP Studio?** - **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 NLP Studio?** - **Seller:** [Avathon](https://www.g2.com/sellers/avathon) - **Year Founded:** 2013 - **HQ Location:** Austin, Texas - **LinkedIn® Page:** https://www.linkedin.com/company/5155679 (259 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 50% Enterprise, 50% Small-Business #### What Are Recent G2 Reviews of NLP Studio? **"[Good Experience](https://www.g2.com/survey_responses/nlp-studio-review-8763034)"** **Rating:** 4.0/5.0 stars *— Rahul D.* [Read full review](https://www.g2.com/survey_responses/nlp-studio-review-8763034) --- ### 11. [Olvy](https://www.g2.com/products/olvy/reviews) Olvy is an AI-powered feedback management tool that transforms user feedback into actionable insights for product teams. With deep analysis and real-time communication, Olvy keeps users at the core of your product development. It's your key to creating products that users love and ensuring their needs are met. **Average Rating:** 5.0/5.0 **Total Reviews:** 6 **How Do G2 Users Rate Olvy?** - **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:** 8.3/10 (Category avg: 8.3/10) - **Pre-Built Parameterization:** 8.3/10 (Category avg: 8.3/10) **Who Is the Company Behind Olvy?** - **Seller:** [Olvy](https://www.g2.com/sellers/olvy) - **Year Founded:** 2020 - **HQ Location:** San Francisco, US - **Twitter:** @olvyhq (988 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/olvyhq/ (2 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 83% Small-Business, 17% Mid-Market #### What Are Recent G2 Reviews of Olvy? **"[Best in class changelog and feedback management tool](https://www.g2.com/survey_responses/olvy-review-8840468)"** **Rating:** 5.0/5.0 stars *— Malte F.* [Read full review](https://www.g2.com/survey_responses/olvy-review-8840468) --- **"[A fantastic customer feedback tool!](https://www.g2.com/survey_responses/olvy-review-8805257)"** **Rating:** 5.0/5.0 stars *— Andrew-David J.* [Read full review](https://www.g2.com/survey_responses/olvy-review-8805257) --- #### What Are G2 Users Discussing About Olvy? - [What is Olvy used for?](https://www.g2.com/discussions/what-is-olvy-used-for) ### 12. [Provalis Research WordStat](https://www.g2.com/products/provalis-research-wordstat/reviews) WordStat is a flexible and easy-to-use text analysis software, whether you need text mining tools for fast extraction of themes and trends, or careful and precise measurement with state-of-the-art quantitative content analysis tools. **Average Rating:** 5.0/5.0 **Total Reviews:** 2 **Who Is the Company Behind Provalis Research WordStat?** - **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 Recent G2 Reviews of Provalis Research WordStat? **"[Converting Unstructured Text Into Action and Business Results](https://www.g2.com/survey_responses/provalis-research-wordstat-review-2447137)"** **Rating:** 5.0/5.0 stars *— John A.* [Read full review](https://www.g2.com/survey_responses/provalis-research-wordstat-review-2447137) --- **"[Quickly extract insights](https://www.g2.com/survey_responses/provalis-research-wordstat-review-2345717)"** **Rating:** 5.0/5.0 stars *— Verified User in Market Research* [Read full review](https://www.g2.com/survey_responses/provalis-research-wordstat-review-2345717) --- ### 13. [Salience](https://www.g2.com/products/lexalytics-inc-salience/reviews) Salience is a set of highly-customizable on-premise text analytics and natural language processing (NLP) software libraries that adds Sentiment Analysis, Entity Recognition, Categorization, Theme Analysis, Intention Detection and Summarization capabilities to your enterprise business intelligence architecture or to your own data analytics product. **Average Rating:** 4.5/5.0 **Total Reviews:** 2 **How Do G2 Users Rate Salience?** - **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 Salience?** - **Seller:** [Lexalytics](https://www.g2.com/sellers/lexalytics) - **Year Founded:** 2003 - **HQ Location:** Boston, MA - **Twitter:** @lexalytics (15,974 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/lexalytics/ (17 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 50% Mid-Market, 50% Small-Business #### What Are Recent G2 Reviews of Salience? **"[Best NLP and text analytics software.](https://www.g2.com/survey_responses/salience-review-9025829)"** **Rating:** 4.5/5.0 stars *— Zeel P.* [Read full review](https://www.g2.com/survey_responses/salience-review-9025829) --- **"[Text visualization and analytical AI tool](https://www.g2.com/survey_responses/salience-review-9765706)"** **Rating:** 4.5/5.0 stars *— Gaurang P.* [Read full review](https://www.g2.com/survey_responses/salience-review-9765706) --- ### 14. [TAS Text Analytics System](https://www.g2.com/products/tas-text-analytics-system/reviews) Creating order in digital chaos TAS Text Analytics System includes text analysis solutions developed by Precognox. The services helps you collect, search, analyze and understand your data. These solutions can be used on their own or be applied as part of a bigger pipeline, since they can be easily integrated into other systems. Discover the most important services of the system, like TAS Insight Engine, TAS Tagger, TAS Enterprise Search engine, TAS Search Log Analyzer, TAS Thesaurus Manager or TAS Data Collector. **Average Rating:** 5.0/5.0 **Total Reviews:** 2 **How Do G2 Users Rate TAS Text Analytics System?** - **Has the product been a good partner in doing business?:** 5.0/10 (Category avg: 9.0/10) **Who Is the Company Behind TAS Text Analytics System?** - **Seller:** [Precognox](https://www.g2.com/sellers/precognox) - **Year Founded:** 2008 - **HQ Location:** Kaposvár, HU - **Twitter:** @precognox (150 Twitter followers) - **LinkedIn® Page:** http://www.linkedin.com/company/precognox (46 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 100% Small-Business #### What Are Recent G2 Reviews of TAS Text Analytics System? **"[TAS Text Analytics System delivered what we expected](https://www.g2.com/survey_responses/tas-text-analytics-system-review-4128800)"** **Rating:** 5.0/5.0 stars *— Attila B.* [Read full review](https://www.g2.com/survey_responses/tas-text-analytics-system-review-4128800) --- **"[Accurate text processing, great customer service](https://www.g2.com/survey_responses/tas-text-analytics-system-review-4104782)"** **Rating:** 5.0/5.0 stars *— Miklos K.* [Read full review](https://www.g2.com/survey_responses/tas-text-analytics-system-review-4104782) --- #### What Are G2 Users Discussing About TAS Text Analytics System? - [What is TAS Text Analytics System used for?](https://www.g2.com/discussions/what-is-tas-text-analytics-system-used-for) ### 15. [Amenity Analytics](https://www.g2.com/products/amenity-analytics/reviews) Amenity develops cloud-based analytics solutions to help businesses draw actionable insights from text on a massive scale. Fortune 100 companies, hedge funds, financial exchanges, and insurance companies rely on our proprietary NLP technology for use on sources ranging from regulatory filings and earnings call transcripts to news coverage, social media activity, and research reports. **Average Rating:** 4.5/5.0 **Total Reviews:** 1 **Who Is the Company Behind Amenity Analytics?** - **Seller:** [Amenity Analytics](https://www.g2.com/sellers/amenity-analytics) - **Year Founded:** 2015 - **HQ Location:** New York, US - **LinkedIn® Page:** https://www.linkedin.com/company/amenity-analytics/ (13 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 100% Mid-Market #### What Are Recent G2 Reviews of Amenity Analytics? **"[Great Lead Advisory](https://www.g2.com/survey_responses/amenity-analytics-review-3482682)"** **Rating:** 4.5/5.0 stars *— Verified User in Facilities Services* [Read full review](https://www.g2.com/survey_responses/amenity-analytics-review-3482682) --- #### What Are G2 Users Discussing About Amenity Analytics? - [What is Amenity Analytics used for?](https://www.g2.com/discussions/what-is-amenity-analytics-used-for) ### 16. [Applica](https://www.g2.com/products/applica/reviews) Applica’s proprietary AI automates text-intensive work by extracting meaning from unstructured and semi-structured documents, regardless of language or layout; it is rapidly trained to new use-cases by non-experts with a minimum of customer data and continually self-learns from interactions with end users. **Average Rating:** 4.5/5.0 **Total Reviews:** 1 **How Do G2 Users Rate Applica?** - **Custom Extension:** 8.3/10 (Category avg: 8.1/10) - **Compositionality:** 8.3/10 (Category avg: 8.3/10) - **Pre-Built Parameterization:** 10.0/10 (Category avg: 8.3/10) **Who Is the Company Behind Applica?** - **Seller:** [Applica](https://www.g2.com/sellers/applica) - **Year Founded:** 2013 - **HQ Location:** New York, US - **LinkedIn® Page:** https://www.linkedin.com/company/3300411 (34 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 100% Small-Business #### What Are Recent G2 Reviews of Applica? **"[Best Document Proccessing Application Ever](https://www.g2.com/survey_responses/applica-review-8285822)"** **Rating:** 4.5/5.0 stars *— Shubham S.* [Read full review](https://www.g2.com/survey_responses/applica-review-8285822) --- ### 17. [Ascribe Inspector](https://www.g2.com/products/ascribe-inspector/reviews) Quickly uncover key themes and opinions with highly customizable and feature-rich text analysis tool that categorizes large amounts of verbatim comments **Average Rating:** 4.0/5.0 **Total Reviews:** 1 **How Do G2 Users Rate Ascribe Inspector?** - **Has the product been a good partner in doing business?:** 10.0/10 (Category avg: 9.0/10) - **Custom Extension:** 8.3/10 (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 Ascribe Inspector?** - **Seller:** [Ascribe](https://www.g2.com/sellers/ascribe) - **Year Founded:** 1999 - **HQ Location:** Cincinnati, US - **Twitter:** @GoAscribe (60 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/117120 (72 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 100% Small-Business #### What Are Ascribe Inspector's Pros and Cons? **Pros:** - Automation (1 reviews) - Ease of Use (1 reviews) **Cons:** - Complex Coding (1 reviews) ### What Do G2 Reviewers Say About Ascribe Inspector? *AI-generated summary from verified user reviews* **Pros:** - Users value the **automation capabilities** of Ascribe Inspector, reducing the need for manual coding and enhancing efficiency. - Users appreciate the **ease of use** of Ascribe Inspector, as it automates tasks without requiring coding skills. **Cons:** - Users find the **inability to change codes** after data entry limits flexibility and complicates sentiment analysis. #### What Are Recent G2 Reviews of Ascribe Inspector? **"[Ascribe inspector quick and easy](https://www.g2.com/survey_responses/ascribe-inspector-review-11280960)"** **Rating:** 4.0/5.0 stars *— Malki P.* [Read full review](https://www.g2.com/survey_responses/ascribe-inspector-review-11280960) --- ### 18. [Bellomy AI Analytics](https://www.g2.com/products/bellomy-ai-analytics/reviews) Bellomy AI Analytics is an innovative tool developed by Bellomy, a leading market research firm recognized for its advanced technology solutions focused on enhancing business insights. Established in 1976, Bellomy has always been at the forefront of market research and customer experience, delivering comprehensive solutions that cater to various industries and businesses of all sizes. Bellomy AI Analytics is designed to offer Market Research and Customer Experience Analysts an unparalleled advantage in understanding customer sentiments, trends, and preferences. Whether your team is already using a text analytics tool or just now exploring its benefits, the solution we offer is designed to outperform expectations and enhance your understanding of market dynamics. Epitomizing our four decades of expertise in tech-driven market research, Bellomy Text Analytics has been developed with a keen focus on ease of use and efficiency. The tool comprehensively scans and analyzes large volumes of unstructured text data from various sources, then organizes this data into meaningful insights, creating an actionable opportunity out of the vast sea of information. Our Text Analytics tool provides real-time insights, enabling you to make informed decisions at a speed that keeps pace with the market's dynamic nature. Featuring an intuitive interface, the tool allows users to quickly gain insights, even with minimal experience using this kind of technology. Bellomy AI Analytics transforms raw data into comprehensible insights through features like sentiment analysis, AI-powered custom topic modeling, and trend identification. Additional features include built-in cross tabulation, Data Querying, and Qual/Quant Data visualization dashboarding. With these functionalities, analysts, managers, directors, VPs, SVPs, and even C-suite executives can leverage the tool to formulate effective strategies, enhance customer experiences, and thereby drive business growth. We continuously update our tool with the latest advancements in AI and Machine Learning, ensuring our clients can delve deeper into their data and extract more valuable insights. With an emphasis on quality customer service, our team is readily available to address any queries or challenges in using our tool. By choosing Bellomy AI Analytics, you choose transparency, efficiency, and a partnership with a firm that is committed to your success. Bellomy is not just a tool; it is a solution that will revolutionize the way you see, interpret, and act on customer data. **Average Rating:** 5.0/5.0 **Total Reviews:** 1 **Who Is the Company Behind Bellomy AI Analytics?** - **Seller:** [Bellomy](https://www.g2.com/sellers/bellomy) - **Year Founded:** 1976 - **HQ Location:** Winston-Salem, US - **LinkedIn® Page:** https://www.linkedin.com/company/bellomy (118 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 100% Small-Business #### What Are Recent G2 Reviews of Bellomy AI Analytics? **"[Awesome tool](https://www.g2.com/survey_responses/bellomy-ai-analytics-review-9147979)"** **Rating:** 5.0/5.0 stars *— Abhash R.* [Read full review](https://www.g2.com/survey_responses/bellomy-ai-analytics-review-9147979) --- ### 19. [Blix](https://www.g2.com/products/blix/reviews) Blix offers an AI-powered text analysis solution designed to retrieve insights from customer feedback quickly and effortlessly. The platform automates the process of coding survey open ends, online reviews, and other textual feedback, turning them into insights without the need for manual effort. Blix’s automated topic discovery scans through open text feedback and identifies key themes and topics. Its AI-powered coding transforms unstructured text into structured, quantitative data, eliminating the need for manual coding. Users receive automated reports and summaries. The platform supports multiple languages and offers data encryption and strict confidentiality guarantees. **Average Rating:** 5.0/5.0 **Total Reviews:** 1 **How Do G2 Users Rate Blix?** - **Pre-Built Parameterization:** 10.0/10 (Category avg: 8.3/10) **Who Is the Company Behind Blix?** - **Seller:** [Blix](https://www.g2.com/sellers/blix-ba436d0d-dca1-4d58-bfa1-a6fa1b80eb40) - **HQ Location:** Tel Aviv, IL - **LinkedIn® Page:** https://www.linkedin.com/company/blix-ai (3 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 100% Small-Business #### What Are Blix's Pros and Cons? **Pros:** - Customer Support (1 reviews) - Ease of Use (1 reviews) - Easy Setup (1 reviews) - Efficiency Improvement (1 reviews) - NLP Capabilities (1 reviews) ### What Do G2 Reviewers Say About Blix? *AI-generated summary from verified user reviews* **Pros:** - Users praise the **outstanding customer support** of Blix, noting its fast and friendly assistance for success. - Users praise the **ease of use** of Blix, with quick setup and an intuitive interface that enhances productivity. - Users find the **easy setup** of Blix remarkable, allowing teams to start analyzing data within minutes. - Users commend Blix for its **efficiency improvement** , significantly reducing time spent on coding and data analysis. - Users appreciate the **NLP capabilities** of Blix that streamline the analysis of open-ended survey responses effectively. #### What Are Recent G2 Reviews of Blix? **"[The best open-ends coding tool we’ve used](https://www.g2.com/survey_responses/blix-review-11970849)"** **Rating:** 5.0/5.0 stars *— Verified User in Market Research* [Read full review](https://www.g2.com/survey_responses/blix-review-11970849) --- ### 20. [CATMA](https://www.g2.com/products/catma/reviews) CATMA (Computer Assisted Textual Markup and Analysis) is a practical and intuitive tool for text researchers. In CATMA users can combine the hermeneutic, undogmatic‚ and the digital, taxonomy based approach to text and corpora's a single researcher, or in real-time collaboration with other team members. **Average Rating:** 4.5/5.0 **Total Reviews:** 1 **How Do G2 Users Rate CATMA?** - **Custom Extension:** 6.7/10 (Category avg: 8.1/10) - **Compositionality:** 8.3/10 (Category avg: 8.3/10) - **Pre-Built Parameterization:** 6.7/10 (Category avg: 8.3/10) **Who Is the Company Behind CATMA?** - **Seller:** [Catma](https://www.g2.com/sellers/catma) - **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 CATMA? **"[Only open source tool i have seen offering advanced text annotation](https://www.g2.com/survey_responses/catma-review-9416350)"** **Rating:** 4.5/5.0 stars *— Verified User in Computer Software* [Read full review](https://www.g2.com/survey_responses/catma-review-9416350) --- ### 21. [CiceroCoref](https://www.g2.com/products/cicerocoref/reviews) CiceroCoref increases the utility of entity extraction from natural language texts by identifying multiple references to the same entity, even when different expressions used to refer to the same entity are used. **Average Rating:** 4.0/5.0 **Total Reviews:** 1 **How Do G2 Users Rate CiceroCoref?** - **Custom Extension:** 3.3/10 (Category avg: 8.1/10) - **Compositionality:** 8.3/10 (Category avg: 8.3/10) - **Pre-Built Parameterization:** 1.7/10 (Category avg: 8.3/10) **Who Is the Company Behind CiceroCoref?** - **Seller:** [Language Computer](https://www.g2.com/sellers/language-computer) - **Year Founded:** 1995 - **HQ Location:** Richardson, US - **LinkedIn® Page:** http://www.linkedin.com/company/language-computer-corporation (13 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 100% Mid-Market #### What Are CiceroCoref's Pros and Cons? **Pros:** - Accuracy (1 reviews) - Easy Integrations (1 reviews) - NLP Capabilities (1 reviews) - Speed (1 reviews) **Cons:** - Insufficient Documentation (1 reviews) - Limitations (1 reviews) - Limited Language Support (1 reviews) ### What Do G2 Reviewers Say About CiceroCoref? *AI-generated summary from verified user reviews* **Pros:** - Users commend CiceroCoref for its **high accuracy** in resolving coreferences quickly and efficiently, enhancing NLP tasks. - Users find CiceroCoref's **easy integrations** effortless, enhancing performance and reducing manual efforts in NLP tasks. - Users value the **effective coreference resolution** of CiceroCoref, enhancing accuracy and reducing manual effort in NLP tasks. - Users commend the **quick and accurate coreference resolution** of CiceroCoref, streamlining their NLP tasks effectively. **Cons:** - Users find the **insufficient documentation** challenging, as it lacks detailed examples for initial setup. - Users find the **documentation lacking detail** , making initial setup challenging and calling for broader language support. - Users note the **limited language support** in CiceroCoref, making initial setup and functionality more challenging. #### What Are Recent G2 Reviews of CiceroCoref? **"[Accurate Coreference Resolution, Easy Integration—Needs Better Docs and More Languages](https://www.g2.com/survey_responses/cicerocoref-review-11895824)"** **Rating:** 4.0/5.0 stars *— hosam m.* [Read full review](https://www.g2.com/survey_responses/cicerocoref-review-11895824) --- ### 22. [Columbus](https://www.g2.com/products/illumr-columbus/reviews) illumr offers an exciting new solution for companies that have a need to understand patterns of behaviour that affect their businesses. It is a deep-tech enterprise data analytics application using a proprietary methodology based on complex self-organising systems. **Average Rating:** 5.0/5.0 **Total Reviews:** 1 **How Do G2 Users Rate Columbus?** - **Custom Extension:** 10.0/10 (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 Columbus?** - **Seller:** [illumr](https://www.g2.com/sellers/illumr) - **Year Founded:** 2013 - **HQ Location:** London, GB - **Twitter:** @illumr (193 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/illumr (3 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 100% Mid-Market #### What Are Recent G2 Reviews of Columbus? **"[Transform, optimize and future-proof our business.](https://www.g2.com/survey_responses/columbus-review-9873468)"** **Rating:** 5.0/5.0 stars *— Verified User in Information Technology and Services* [Read full review](https://www.g2.com/survey_responses/columbus-review-9873468) --- ### 23. [CONTEXTSUITE](https://www.g2.com/products/contextsuite/reviews) CONTEXTSUITE is your holistic data control center for a profitable, data-driven business. Powered by its unique AI, CONTEXTSUITE instantly transforms all the data you have, both internal and external, into usable data, no matter how unstructured. By intelligently understanding ambiguities, recognizing patterns, and automatically adding new valuation perspectives to your data, MORESOPHY's CONTEXTSUITE adds meaning and transparency to your data. The intuitive, fully adjustable, and easy-to-use visual cockpits give an instant transparent insight into the status of your business, enabling the users to uncover hidden potential, identify problems and make informed decisions based on all available data. With a built-in suite of sophisticated AI models, the software provides powerful insights right out of the box, without the need for extensive AI training. The analytics platform includes a unique set of pre-trained AI models to generate meaningful typed data: Topics, risks, sentiments, amounts, people, and more. - specifically learned in the context of hundreds of different domains: scalable in intelligence and performance. Enabling you to deeply understand the content of any domain and type - from supply contracts, management, and business reports, as well as customer data, and product information, this software enables you to quickly assess opportunities and risks based on your data. CONTEXTSUITE is proven in dozens of different use cases. In testing and communication processes, as an intelligent search engine as well as for automated dark processing through AI-supported assessment of incidents and inquiries. With its unique AI Service Hub, CONTEXTSUITE accesses all conceivable data and services and can be easily integrated into your IT infrastructure - whether public or private cloud, completely on-premises, or as a managed service. Resilient thanks to state-of-the-art cloud orchestration, DSGVO-compliant and fully trustworthy thanks to renowned development and "made in Germany". As a pioneer in the field of AI in German-speaking countries with more than 20 years of experience, the manufacturer MORESOPHY enables your business as a partner at eye level (alternatively: to successfully realize your project as a partner at eye level). Fast, individual, reliable, and highly professional. Control your business today with the insights of your data. **Average Rating:** 4.5/5.0 **Total Reviews:** 1 **How Do G2 Users Rate CONTEXTSUITE?** - **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 CONTEXTSUITE?** - **Seller:** [MORESOPHY](https://www.g2.com/sellers/moresophy) - **Year Founded:** 2001 - **HQ Location:** München, DE - **LinkedIn® Page:** http://www.linkedin.com/company/moresophy-gmbh (25 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 100% Small-Business #### What Are Recent G2 Reviews of CONTEXTSUITE? **"[A good AI powered solution for data processing.](https://www.g2.com/survey_responses/contextsuite-review-9346780)"** **Rating:** 4.5/5.0 stars *— Hines J.* [Read full review](https://www.g2.com/survey_responses/contextsuite-review-9346780) --- ### 24. [DiscoverText](https://www.g2.com/products/discovertext/reviews) With dozens of powerful text analytics, data science, human coding, and machine-learning features, including instant access to the Gnip PowerTrack 2.0 for Twitter, historical Twitter, and the free Twitter Search API, DiscoverText provides cloud-based software tools to quickly evaluate large amounts of text, survey, and Twitter data. **Average Rating:** 4.0/5.0 **Total Reviews:** 1 **Who Is the Company Behind DiscoverText?** - **Seller:** [DiscoverText](https://www.g2.com/sellers/discovertext) - **HQ Location:** Amherst, US - **LinkedIn® Page:** http://www.linkedin.com/company/discovertext (2 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 100% Enterprise, 100% Mid-Market #### What Are Recent G2 Reviews of DiscoverText? **"[Better analysis at scale ](https://www.g2.com/survey_responses/discovertext-review-1794856)"** **Rating:** 4.0/5.0 stars *— Verified User in Information Technology and Services* [Read full review](https://www.g2.com/survey_responses/discovertext-review-1794856) --- #### What Are G2 Users Discussing About DiscoverText? - [What is DiscoverText used for?](https://www.g2.com/discussions/discovertext-what-is-discovertext-used-for) - [What is DiscoverText used for?](https://www.g2.com/discussions/what-is-discovertext-used-for) ### 25. [Dragonglass](https://www.g2.com/products/dragonglass/reviews) DragonGlass connectors provide instant connectivity and data extraction capability to a variety of data sources ranging from SaaS platforms like ServiceNow, SalesForce, ZenDesk, Confluence, Jive, Jira, and Google Drive to on premise data sources like SQL databases, file repositories and blockchain platforms like Ethereum and Swirlds. In addition the platform also contains a Web crawler that can be easily configured by an end user to extract web content from any external web site. **Average Rating:** 3.5/5.0 **Total Reviews:** 1 **How Do G2 Users Rate Dragonglass?** - **Custom Extension:** 6.7/10 (Category avg: 8.1/10) - **Compositionality:** 8.3/10 (Category avg: 8.3/10) - **Pre-Built Parameterization:** 6.7/10 (Category avg: 8.3/10) **Who Is the Company Behind Dragonglass?** - **Seller:** [Opencrowd](https://www.g2.com/sellers/opencrowd) - **HQ Location:** N/A - **Twitter:** @dragonglass_me (3 Twitter followers) - **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 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) - [Analytics Platforms](https://www.g2.com/categories/analytics-platforms) - [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.