# Best Text Analysis Software - Page 6 *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=1192843) Highlighted products: SAS Viya, Amazon Comprehend, Chattermill, Google Cloud Natural Language API, Caplena, Canvs, Birdie, and Kimola. Underlying data: [Grid® JSON](https://www.g2.com/categories/text-analysis/grids.json?focus%5B%5D=sas-sas-viya&focus%5B%5D=amazon-comprehend&focus%5B%5D=chattermill&focus%5B%5D=google-cloud-natural-language-api&focus%5B%5D=caplena&focus%5B%5D=canvs-ai-canvs&focus%5B%5D=birdie-ai-birdie&focus%5B%5D=kimola) ## 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 27, 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. --- **Sponsored** ### EdgeTier Are you tired of excel sheets, pivot tables, reading transcripts, filling QA forms, building custom dashboards, to find answers to "what is going on in my contact centre"? You've come to the right place. The EdgeTier Conversational Intelligence and Support Platform helps Customer Support teams uncover the missed insights in their support and survey messages, react faster to emerging customer issues, and have the data they need at their fingertips to make decisions, positioning the contact centre as a strategic hub of insights for the entire company. Global Brands like Abercrombie & Fitch, CarTrawler, TUI Travel, and Ryanair use EdgeTier to process millions of customer messages, boost NPS, CSAT and first contact resolution scores, as well as improve overall efficiency. Having 24/7 insights into customer attitudes, helps you understand customer issues, detect emerging conversational trends in real time, and improve agent performance. Key functionality: - Real-time integrations with every customer contact centre system - Proactive AI alerting with real time detection of unforeseen customer issues - Automated Agent QA performance reports and analysis - Automatic tagging of customer messages and surveys - Get real-time alerts for critical customer interactions (set up in advance) - Sentiment analysis and emotion detection of all your customer and agent interactions - Real-time reporting and KPI analysis - AI assisted chat and email handling EdgeTier seamlessly integrates with existing customer support systems without needing any IT time, and monitors customer conversations 24/7 in multilingual environments, as well as providing prompts to support agents speaking to customers. [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=2026-07-27T14%3A42%3A51Z&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=115228&secure%5Bresource_id%5D=1260&secure%5Bresource_type%5D=Category&secure%5Bsource_type%5D=llm_category_page&secure%5Bsource_url%5D=https%3A%2F%2Fwww.g2.com%2Fcategories%2Ftext-analysis%3Fpage%3D6&secure%5Btoken%5D=09515de51476f840a6ac2b50a4f159978f3776cb32b2b22242600ffb0584730e&secure%5Burl%5D=https%3A%2F%2Fwww.edgetier.com%2Fcustomer-conversation-analytics%3Futm_source%3Dg2%26utm_medium%3Dpaid%26utm_campaign%3Dg2-contact-center-2026&secure%5Burl_type%5D=custom_url) --- ## What Are the Top-Rated Text Analysis Software Products in 2026? ### 1. [SummarizeBot API](https://www.g2.com/products/summarizebot-api/reviews) AI Data Analysis Technologies for Business **Average Rating:** 4.5/5.0 **Total Reviews:** 1 **Who Is the Company Behind SummarizeBot API?** - **Seller:** [SummarizeBot](https://www.g2.com/sellers/summarizebot) - **Year Founded:** 2018 - **HQ Location:** Riga, LV - **Twitter:** @SummarizeBot (312 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/summarizebot (5 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 100% Small-Business #### What Are Recent G2 Reviews of SummarizeBot API? **"[Image and Text analysis API](https://www.g2.com/survey_responses/summarizebot-api-review-5295222)"** **Rating:** 4.5/5.0 stars *— Verified User in Information Technology and Services* [Read full review](https://www.g2.com/survey_responses/summarizebot-api-review-5295222) --- #### What Are G2 Users Discussing About SummarizeBot API? - [What is SummarizeBot API used for?](https://www.g2.com/discussions/what-is-summarizebot-api-used-for) ### 2. [Symanto](https://www.g2.com/products/symanto/reviews) Symanto transforms textual data from online sources into meaningful insights about audiences, competitors, company valuation, brand equity, mental health and much more. We help you to really understand human motivations, attitudes and emotions and apply this precious knowledge to your daily business through our broad product portfolio. Get in touch with us now and find your perfect solution! **Average Rating:** 4.5/5.0 **Total Reviews:** 1 **Who Is the Company Behind Symanto?** - **Seller:** [Symanto](https://www.g2.com/sellers/symanto) - **Year Founded:** 2010 - **HQ Location:** Nuremberg, DE - **LinkedIn® Page:** https://www.linkedin.com/company/1220760 (61 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 100% Small-Business #### What Are Recent G2 Reviews of Symanto? **"[Symanto provides insights that offer absolute value for marketing, sales, and business development.](https://www.g2.com/survey_responses/symanto-review-5429250)"** **Rating:** 4.5/5.0 stars *— Bettina G.* [Read full review](https://www.g2.com/survey_responses/symanto-review-5429250) --- **"[Our change](https://www.g2.com/survey_responses/symanto-review-5423204)"** **Rating:** 5.0/5.0 stars *— Francisca I.* [Read full review](https://www.g2.com/survey_responses/symanto-review-5423204) --- #### What Are G2 Users Discussing About Symanto? - [What is Symanto used for?](https://www.g2.com/discussions/what-is-symanto-used-for) ### 3. [Synaptica Text Analytics](https://www.g2.com/products/synaptica-text-analytics/reviews) Synapticas Text Analytics solutions are custom tools developed for the analysis and classification of structured and unstructured information. Synaptica uses your organizations vocabularies to automatically apply metadata to corporate content for knowledge management. Our solutions identify content types and document sections to add context to important concepts. **Average Rating:** 5.0/5.0 **Total Reviews:** 1 **Who Is the Company Behind Synaptica Text Analytics?** - **Seller:** [Synaptica](https://www.g2.com/sellers/synaptica) - **Year Founded:** 1995 - **HQ Location:** New York, US - **Twitter:** @Synaptica (1,382 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/synaptica-llc/ (2 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 100% Enterprise #### What Are Recent G2 Reviews of Synaptica Text Analytics? **"[Get to know the "aboutness" of your org's content](https://www.g2.com/survey_responses/synaptica-text-analytics-review-7409820)"** **Rating:** 5.0/5.0 stars *— Verified User in Research* [Read full review](https://www.g2.com/survey_responses/synaptica-text-analytics-review-7409820) --- ### 4. [Text2data](https://www.g2.com/products/text2data/reviews) Once analysis is finished, you will see the overall score for the document and input text with highlighted phrases. It is important to check for negations if you think some words should have different polarity **Average Rating:** 5.0/5.0 **Total Reviews:** 1 **Who Is the Company Behind Text2data?** - **Seller:** [Proxmedia Software Solutions](https://www.g2.com/sellers/proxmedia-software-solutions) - **Year Founded:** 2009 - **HQ Location:** Poznań, PL - **LinkedIn® Page:** https://www.linkedin.com/company/9455203 (1 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 100% Small-Business #### What Are Recent G2 Reviews of Text2data? **"[Text2Data is great!](https://www.g2.com/survey_responses/text2data-review-5186022)"** **Rating:** 5.0/5.0 stars *— Verified User in Marketing and Advertising* [Read full review](https://www.g2.com/survey_responses/text2data-review-5186022) --- #### What Are G2 Users Discussing About Text2data? - [What is Text2data used for?](https://www.g2.com/discussions/what-is-text2data-used-for) ### 5. [Tisane API](https://www.g2.com/products/tisane-api/reviews) Extract more from text in 27 languages: detect hate speech, sexual harassment, cyberbullying, extract topics, entities, and find not just _whether_, but also _why_ the customer is happy or unhappy with your product or service. Our applications and components are accessible via a public cloud on a subscription basis (SaaS), can be installed on premises, or embedded in 3rd party applications for seamless integration and security. **Average Rating:** 4.5/5.0 **Total Reviews:** 1 **Who Is the Company Behind Tisane API?** - **Seller:** [Tisa](https://www.g2.com/sellers/tisa) - **Year Founded:** 2017 - **HQ Location:** Singapore, SG - **Twitter:** @TisaneLabs (40 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/tisanelabs/ (14 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 100% Mid-Market #### What Are Recent G2 Reviews of Tisane API? **"[My real case, Tisane API that is good for my company](https://www.g2.com/survey_responses/tisane-api-review-10225565)"** **Rating:** 4.5/5.0 stars *— Genesis S.* [Read full review](https://www.g2.com/survey_responses/tisane-api-review-10225565) --- ### 6. [UiPath Communications Mining](https://www.g2.com/products/uipath-communications-mining/reviews) Mine, monitor, and automate every conversation to enhance efficiency, productivity, and customer experiences​. Communications Mining combines AI and automation so you can automate your most common business requests and time-consuming conversations. From beginning to end. From sending an email to responding to a customer request, every business conversation matters. But processing these communications has always been manual, costly, and inefficient. Until now. UiPath Communications Mining turns every message into actionable data, in real time and on any communications channel​. Learn more today at: https://www.uipath.com/product/communications-mining **Average Rating:** 5.0/5.0 **Total Reviews:** 2 **How Do G2 Users Rate UiPath Communications Mining?** - **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:** 8.3/10 (Category avg: 8.3/10) - **Pre-Built Parameterization:** 8.3/10 (Category avg: 8.3/10) **Who Is the Company Behind UiPath Communications Mining?** - **Seller:** [UiPath](https://www.g2.com/sellers/uipath) - **Year Founded:** 2005 - **HQ Location:** New York - **Twitter:** @UiPath (108,104 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/1523656/ (5,134 employees on LinkedIn®) - **Ownership:** NYSE: PATH **Who Uses This Product?** - **Company Size:** 50% Enterprise, 50% Mid-Market #### What Are Recent G2 Reviews of UiPath Communications Mining? **"[Automate the minutest things.](https://www.g2.com/survey_responses/uipath-communications-mining-review-8186887)"** **Rating:** 5.0/5.0 stars *— Nitin B.* [Read full review](https://www.g2.com/survey_responses/uipath-communications-mining-review-8186887) --- **"[Uipath communication mining modern AI for Comms](https://www.g2.com/survey_responses/uipath-communications-mining-review-9365617)"** **Rating:** 5.0/5.0 stars *— Mahesh B.* [Read full review](https://www.g2.com/survey_responses/uipath-communications-mining-review-9365617) --- ### 7. [Unpickle](https://www.g2.com/products/unpickle/reviews) Unpickle is a Customer Experience Platform provider making customer services more profitable, engaging and empowering;by synergistic combination of business, data, analytics and technology. **Average Rating:** 4.0/5.0 **Total Reviews:** 1 **Who Is the Company Behind Unpickle?** - **Seller:** [Unpickle](https://www.g2.com/sellers/unpickle) - **Year Founded:** 2015 - **HQ Location:** Bangalore, IN - **LinkedIn® Page:** https://www.linkedin.com/company/10467853 (10 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 100% Enterprise #### What Are Recent G2 Reviews of Unpickle? **"[Good potential for a B2B product](https://www.g2.com/survey_responses/unpickle-review-8273641)"** **Rating:** 4.0/5.0 stars *— Verified User in Information Technology and Services* [Read full review](https://www.g2.com/survey_responses/unpickle-review-8273641) --- ### 8. [Viavoo](https://www.g2.com/products/viavoo/reviews) VIAVOO is the fastest, easiest way to get actionable insights from customer comments and conversations. Our AI-powered 360 Feedback Analytics platform provides 40+ integrations and reveals in real time the emotions, topics and data that matter to CX, marketing and customer support teams. **Average Rating:** 3.3/5.0 **Total Reviews:** 3 **How Do G2 Users Rate Viavoo?** - **Has the product been a good partner in doing business?:** 6.7/10 (Category avg: 9.0/10) **Who Is the Company Behind Viavoo?** - **Seller:** [viavoo](https://www.g2.com/sellers/viavoo) - **Year Founded:** 2009 - **HQ Location:** Boulogne-Billancourt, FR - **LinkedIn® Page:** https://www.linkedin.com/company/viavoo (12 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 67% Enterprise, 33% Mid-Market #### What Are Viavoo's Pros and Cons? **Pros:** - AI Technology (1 reviews) - Analytics (1 reviews) - Customization (1 reviews) - Dashboard Customization (1 reviews) - Dashboard Usability (1 reviews) **Cons:** - Accuracy Issues (1 reviews) - Complexity (1 reviews) - Expensive (1 reviews) - Limited Customization (1 reviews) - Limited Options (1 reviews) ### What Do G2 Reviewers Say About Viavoo? *AI-generated summary from verified user reviews* **Pros:** - Users value the **intuitive AI-driven insights** from Viavoo, which simplify feedback management and trend identification. - Users appreciate the **intuitive analytics** of Viavoo, enabling quick insights and seamless identification of customer trends. - Users value the **customizable dashboard** of Viavoo, allowing tailored views to highlight key information effectively. - Users value the **personalized dashboard customization** in Viavoo, allowing them to highlight important aspects efficiently. - Users love the **personalized dashboard** of Viavoo, which highlights key aspects through various widgets. **Cons:** - Users report **accuracy issues** with Viavoo's sentiment analysis, highlighting challenges in interpreting nuanced and context-specific language. - Users find the **complexity of features** challenging for beginners, wishing for a smoother onboarding experience. - Users find Viavoo to be **expensive** for its features and desire more personalized options. - Users find the pricing high, expressing a desire for more **personalized options** to enhance their experience with Viavoo. - Users find the **limited options** of Viavoo lacking, feeling it could benefit from more personalization and affordability. ### 9. [Wonderflow](https://www.g2.com/products/wonderflow/reviews) Wonderflow is a leading provider of Generative AI for Voice of the Customer (VoC) analysis. We provide a leading AI-powered consumer intelligence software solution that helps enterprise businesses easily and quickly unlock the full potential of their customer feedback, all in one place. Our platform is trusted by global leaders and Fortune 500 companies, such as Haier, Philips, Purina, Lavazza, Shiseido, and more, to improve the customer experience and innovate smarter. **Average Rating:** 4.5/5.0 **Total Reviews:** 1 **How Do G2 Users Rate Wonderflow?** - **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 Wonderflow?** - **Seller:** [Wonderflow](https://www.g2.com/sellers/wonderflow) - **Year Founded:** 2015 - **HQ Location:** Amsterdam, NL - **Twitter:** @wonderflow (1,760 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/wonderflow (85 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 100% Enterprise #### What Are Recent G2 Reviews of Wonderflow? **"[Simple to use, accuracy and easy to understand](https://www.g2.com/survey_responses/wonderflow-review-6483991)"** **Rating:** 4.5/5.0 stars *— Vikas M.* [Read full review](https://www.g2.com/survey_responses/wonderflow-review-6483991) --- #### What Are G2 Users Discussing About Wonderflow? - [What is Wonderflow used for?](https://www.g2.com/discussions/what-is-wonderflow-used-for) ### 10. [Yogi](https://www.g2.com/products/yogi/reviews) Yogi | AI-Powered Consumer Insights Platform for Leading CPG Brands Yogi is an AI-driven consumer insights platform that helps top consumer goods brands unlock the full potential of product reviews, customer support tickets, surveys, and social media feedback. By analyzing millions of data points across channels, Yogi delivers real-time, unified intelligence that enables faster, smarter decision-making. Trusted by industry leaders like Nestlé, Microsoft, Keurig, Unilever, Church & Dwight, MARS, and Kohler, Yogi empowers teams across marketing, product, insights, and digital shelf to stay ahead of shifting consumer preferences, identify emerging trends, and outpace the competition. With Yogi, brands can drive innovation, optimize product performance, and win customer loyalty—at scale. **Average Rating:** 4.6/5.0 **Total Reviews:** 14 **How Do G2 Users Rate Yogi?** - **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:** 6.7/10 (Category avg: 8.3/10) - **Pre-Built Parameterization:** 8.3/10 (Category avg: 8.3/10) **Who Is the Company Behind Yogi?** - **Seller:** [Yogi](https://www.g2.com/sellers/yogi) - **Year Founded:** 2018 - **HQ Location:** New York, New York - **LinkedIn® Page:** https://www.linkedin.com/company/yogi-feedback/ (92 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Consumer Goods - **Company Size:** 50% Mid-Market, 29% Enterprise #### What Are Yogi's Pros and Cons? **Pros:** - Analytics (1 reviews) - Customer Insights (1 reviews) - Data Accuracy (1 reviews) - Ease of Use (1 reviews) - Helpful (1 reviews) **Cons:** - Filtering Issues (1 reviews) - Inadequate Filtering Options (1 reviews) - Lack of Specificity (1 reviews) ### What Do G2 Reviewers Say About Yogi? *AI-generated summary from verified user reviews* **Pros:** - Users value the **insightful analytics and recommendations** from Yogi, enhancing their overall experience and decision-making. - Users find that Yogi provides **valuable customer insights** that aid in understanding brand perception and improving equity. - Users value Yogi for its **data accuracy** , aiding in clear insights on consumer perceptions and brand improvements. - Users find Yogi's interface **very easy to use** , appreciating its helpful analytics and recommendations. - Users find Yogi **extremely helpful** in identifying consumer perceptions and improving brand strategies effectively. **Cons:** - Users are experiencing **filtering issues** on Yogi, finding irrelevant features for their specific industry needs. - Users find **filtering options inadequate** , leading to frustration when trying to find relevant features for their needs. - Users note a **lack of specificity** in Yogi's analysis, leading to potentially skewed results and confusion. #### What Are Recent G2 Reviews of Yogi? **"[Very easy to work and reliable.](https://www.g2.com/survey_responses/yogi-review-10244019)"** **Rating:** 4.5/5.0 stars *— Lori S.* [Read full review](https://www.g2.com/survey_responses/yogi-review-10244019) --- **"[Transforming product analysis with insightful data and stellar support team](https://www.g2.com/survey_responses/yogi-review-8659877)"** **Rating:** 5.0/5.0 stars *— Jasmine F.* [Read full review](https://www.g2.com/survey_responses/yogi-review-8659877) --- ### 11. [Zonka Feedback](https://www.g2.com/products/zonka-feedback/reviews) Zonka Feedback is an AI-powered Customer Feedback & Intelligence Platform for businesses to collect feedback across channels, unify scattered sources in one place, analyze it with AI, and act in real time. Whether it’s digital journeys and product feedback or frontline and support experiences across locations, Zonka Feedback empowers teams to understand customer experience, reduce churn, improve satisfaction, and drive growth. With easy-to-use yet powerful surveys for NPS, CSAT, CES, and more, businesses can run transactional and relationship programs and capture feedback across email, SMS, WhatsApp, web, in-app, in-product, kiosks, and offline touchpoints. Zonka Feedback seamlessly integrates with leading CRM, Helpdesk, and Marketing platforms, including Salesforce, HubSpot, Intercom, and Zendesk, to trigger surveys and sync scores, creating a holistic 360° view of the customer journey. With out-of-the-box reports, trends, and insights, teams can easily analyze data to drive informed CX improvements. Zonka’s AI Feedback Intelligence unifies feedback analytics and experience signals from tickets, chats, reviews, calls, social, and surveys—sources that often live in silos—into a single platform to deliver actionable insights. Powered by Thematic Analysis, Impact & Sentiment Scoring, Entity Recognition, and Agentic AI, it gives teams instant clarity on what’s working, what’s broken, and where to focus across themes, functions, and locations. Insights Assistant enables teams to instantly query their feedback data and get clear, AI-driven answers to critical questions, such as what’s driving churn, what’s frustrating users, which product enhancements matter most, and more. Zonka Feedback simplifies & speeds up closing the feedback loop with a centralized inbox, case management, reputation management, and intelligent automation. Feedback is routed to the right teams, follow-ups are triggered instantly, and businesses can respond directly to customer feedback and online reviews, proactively engaging detractors and turning negative experiences into loyalty-building moments. \*\*Key Capabilities\*\* - Effortless NPS, CSAT, CES survey & VoC program - Collect responses via Email, SMS, WhatsApp, Web, In-App, Kiosks & more - AI Feedback Intelligence with thematic, sentiment, impact analysis & entity recognition - Reputation Management to unify, monitor, and respond to online reviews - Centralized Inbox with collaborative view, tagging, and tasks - Case Management with tickets, assignments, and direct customer communication - Real-time Alerts via Email, SMS, WhatsApp, Slack, and Microsoft Teams - Workflow Automation to trigger actions and close the loop faster - Reporting & Analytics with out-of-the-box dashboards and trends - Integrations with 50+ platforms, including Salesforce, HubSpot, Zendesk, Intercom, Freshdesk, Microsoft Dynamics, Zapier and more. **Average Rating:** 4.7/5.0 **Total Reviews:** 79 **How Do G2 Users Rate Zonka Feedback?** - **Has the product been a good partner in doing business?:** 9.6/10 (Category avg: 9.0/10) **Who Is the Company Behind Zonka Feedback?** - **Seller:** [Zonka Feedback](https://www.g2.com/sellers/zonka-feedback) - **Company Website:** https://www.zonkafeedback.com - **Year Founded:** 2014 - **HQ Location:** Gurugram, Haryana - **Twitter:** @zonkafeedback (1,270 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/3881439/ (34 employees on LinkedIn®) **Who Uses This Product?** - **Who Uses This:** CEO, Founder - **Top Industries:** Marketing and Advertising, Education Management - **Company Size:** 63% Small-Business, 30% Mid-Market #### What Are Zonka Feedback's Pros and Cons? **Pros:** - Customer Support (5 reviews) - Helpful (4 reviews) - Improvement (4 reviews) - Data Management (3 reviews) - Ease of Use (3 reviews) **Cons:** - Software Instability (2 reviews) - Call Issues (1 reviews) - Improvement Needed (1 reviews) - Layout Issues (1 reviews) - Learning Curve (1 reviews) ### What Do G2 Reviewers Say About Zonka Feedback? *AI-generated summary from verified user reviews* **Pros:** - Users commend the **responsive and exceptional support** offered by Zonka Feedback, enhancing their overall experience significantly. - Users find Zonka Feedback's **ease of use and setup** exceptional, enhancing customer experience and engagement efficiently. - Users commend Zonka Feedback for its **massive improvements and feature updates** enhancing customer experience and feedback collection. - Users commend Zonka Feedback for its **excellent data management** , praising its customization options and supportive integration. - Users praise the **ease of use** of Zonka Feedback, appreciating its straightforward setup and seamless integration. **Cons:** - Users face **software instability** within Zonka Feedback, experiencing bugs and confusing navigation that impede usability. - Users experience **call issues** with Zonka Feedback, limiting in-house reviews and affecting the survey process. - Users note a **slight learning curve** with advanced features, though excellent support helps ease the transition. - Users find the **layout issues** of Zonka Feedback frustrating, with confusing navigation and unexpected functionality locations. - Users report a **slight learning curve** with advanced features, but commend the excellent support for assistance. #### What Are Recent G2 Reviews of Zonka Feedback? **"[A Strategic Asset for Client Success and Brand Growth](https://www.g2.com/survey_responses/zonka-feedback-review-12252252)"** **Rating:** 5.0/5.0 stars *— Khurram K.* [Read full review](https://www.g2.com/survey_responses/zonka-feedback-review-12252252) --- **"[Zonka Feedback - Intuitive, Customizable, and Seamlessly Integrative](https://www.g2.com/survey_responses/zonka-feedback-review-12565883)"** **Rating:** 5.0/5.0 stars *— Colin C.* [Read full review](https://www.g2.com/survey_responses/zonka-feedback-review-12565883) --- #### What Are G2 Users Discussing About Zonka Feedback? - [What are feedback programs?](https://www.g2.com/discussions/what-are-feedback-programs) - [Which are the tools used for feedback?](https://www.g2.com/discussions/which-are-the-tools-used-for-feedback) - [What is zonka?](https://www.g2.com/discussions/what-is-zonka) - [What are the features of a good customer feedback system?](https://www.g2.com/discussions/what-are-the-features-of-a-good-customer-feedback-system) ### 12. [100W-Psychological AI](https://www.g2.com/products/100w-psychological-ai/reviews) Psychological AI enables users to identify potential leads, automate the outreach process and send tailored messages based on the recipient's personality. **Who Is the Company Behind 100W-Psychological AI?** - **Seller:** [100 Worte](https://www.g2.com/sellers/100-worte) - **HQ Location:** N/A - **LinkedIn® Page:** https://www.linkedin.com/company/No-Linkedin-Presence-Added-Intentionally-By-DataOps (1 employees on LinkedIn®) ### 13. [3RDi Search](https://www.g2.com/products/3rdi-search/reviews) 3RDi provides answers to every challenge you face from managing and exploiting unstructured content to deriving deeper actionable insights for boosting your business. It is a powerful and scalable platform which combines lightning fast search with context sensitive semantic enrichment, multidimensional information analysis and easy search relevancy management. It helps you take action, boost revenues and cut costs! **Average Rating:** 4.5/5.0 **Total Reviews:** 1 **How Do G2 Users Rate 3RDi Search?** - **Has the product been a good partner in doing business?:** 8.3/10 (Category avg: 9.0/10) **Who Is the Company Behind 3RDi Search?** - **Seller:** [The Digital Group](https://www.g2.com/sellers/the-digital-group) - **Year Founded:** 1999 - **HQ Location:** Princeton, US - **LinkedIn® Page:** http://www.linkedin.com/company/thedigitalgroupinc (499 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 100% Mid-Market #### What Are Recent G2 Reviews of 3RDi Search? **"[A good search tool with support for multiple data formats.](https://www.g2.com/survey_responses/3rdi-search-review-674082)"** **Rating:** 4.5/5.0 stars *— Rickie J.* [Read full review](https://www.g2.com/survey_responses/3rdi-search-review-674082) --- #### What Are G2 Users Discussing About 3RDi Search? - [What is 3RDi Search used for?](https://www.g2.com/discussions/what-is-3rdi-search-used-for) ### 14. [Aiklyra](https://www.g2.com/products/aiklyra/reviews) Aiklyra is an advanced analytics platform that uses graph-based analysis to reveal AI agent and chatbot behavioral patterns. Designed for businesses deploying AI agents, Aiklyra provides tools to monitor and optimize agent behaviors across thousands of interactions. Our API leverages cutting-edge research in conversational systems, including intent extraction and transition probability analysis, to deliver actionable insights. Explore our affordable pricing plans to analyze conversational graphs and improve AI performance. **Who Is the Company Behind Aiklyra?** - **Seller:** [Aiklyra](https://www.g2.com/sellers/aiklyra) - **Year Founded:** 2025 - **HQ Location:** N/A - **LinkedIn® Page:** https://www.linkedin.com/company/aiklyra/ (2 employees on LinkedIn®) ### 15. [Aspect](https://www.g2.com/products/graph-aware-limited-aspect/reviews) Hume is a graph analytics solution that enables intelligence-led policing with advanced crime analytics. Hume provides a single view of intelligence enabling analysts to quickly identify links and patterns of interest in the vast amounts of information they have access to. Analysts quickly find connections between entities, understand geographical and temporal context, and perform advanced network analysis. All on a single canvas. Intelligence analysts get alerted about suspicious patterns, which enables them to prevent, disrupt, and solve crimes in hours instead of days. **Who Is the Company Behind Aspect?** - **Seller:** [Graph Aware Limited](https://www.g2.com/sellers/graph-aware-limited) - **Year Founded:** 2013 - **HQ Location:** London, GB - **LinkedIn® Page:** https://www.linkedin.com/company/graphaware/ (42 employees on LinkedIn®) ### 16. [ChatMetric](https://www.g2.com/products/chatmetric/reviews) \*\*ChatMetric\*\* is a data analytics and intelligence platform designed to help businesses understand, measure, and improve their communication performance—especially across chat-based channels like customer support, messaging apps, and AI chat systems. At its core, ChatMetric collects and analyzes conversation data to uncover insights about user behavior, response quality, engagement levels, and operational efficiency. It transforms raw chat logs into structured metrics, allowing companies to see how well their teams or AI systems are performing in real-time. The platform typically tracks key indicators such as response time, resolution rate, customer satisfaction signals, conversation drop-offs, and sentiment trends. By doing this, ChatMetric helps businesses identify bottlenecks, improve response strategies, and optimize both human and automated interactions. For companies using AI chatbots or conversational tools, ChatMetric acts as a performance layer. It evaluates how effective the chatbot is at handling queries, where it fails, and how conversations can be improved through better training or flows. In essence, ChatMetric is not a communication tool itself—it’s the intelligence system behind conversations. It gives businesses clarity, control, and data-driven direction to improve customer experience, reduce inefficiencies, and scale communication systems more effectively. **Who Is the Company Behind ChatMetric?** - **Seller:** [ChatMetric](https://www.g2.com/sellers/chatmetric) - **Year Founded:** 2023 - **HQ Location:** N/A - **LinkedIn® Page:** https://www.linkedin.com/company/98426281 (1 employees on LinkedIn®) ### 17. [ClarifyPDF](https://www.g2.com/products/clarifypdf/reviews) ClarifyPDF is an AI tool that answers your queries directly from PDF documents, making research faster and more efficient. **Who Is the Company Behind ClarifyPDF?** - **Seller:** [ClarifyPDF](https://www.g2.com/sellers/clarifypdf) - **Year Founded:** 2023 - **HQ Location:** London, GB - **LinkedIn® Page:** https://www.linkedin.com/company/bunni-ai/ (3 employees on LinkedIn®) ### 18. [Commerce AI](https://www.g2.com/products/commerce-ai/reviews) Commerce.AI helps activate unstructured customer experience data. Our technology extracts attributes, intents, marketing opportunities and other insights from voice, chat, text & video data. Our unique strength is that we have hundreds of pre-built integrations and machine learning models to pull such data from public and internal sources such as eCommerce product reviews, contact center, chats, videos etc. All extracted insights can be visualized using our dashboard or pushed to other BI tools to enhance customer experience, by analyzing and understanding consumer wishlist, use cases and purchase reasons. Our models can be further trained to extract advanced intelligence for contact center, marketing, merchandising & product development. **Average Rating:** 4.0/5.0 **Total Reviews:** 1 **Who Is the Company Behind Commerce AI?** - **Seller:** [Commerce.AI](https://www.g2.com/sellers/commerce-ai) - **Year Founded:** 2016 - **HQ Location:** Sunnyvale, US - **LinkedIn® Page:** https://www.linkedin.com/company/commerce.ai (7 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 100% Mid-Market #### What Are Commerce AI's Pros and Cons? **Pros:** - Automation (1 reviews) - Customer Support (1 reviews) - Data Analysis (1 reviews) - Data Management (1 reviews) - Ease of Use (1 reviews) **Cons:** - Data Management (1 reviews) - Limitations (1 reviews) ### What Do G2 Reviewers Say About Commerce AI? *AI-generated summary from verified user reviews* **Pros:** - Users find the **automation of workflows** in Commerce AI to greatly enhance efficiency and data management. - Users value the **efficient customer support** of Commerce AI, enhancing their experience with workflow automation and data management. - Users value the **efficient data analysis** capabilities of Commerce AI, enhancing workflow automation and customer management. - Users value the **efficient data management** capabilities of Commerce AI, enhancing workflows and customer insights. - Users find **Commerce AI easy to use** , appreciating its automation capabilities and efficient customer data management. **Cons:** - Users feel that Commerce AI needs clearer direction in **data management** to enhance its effectiveness and integration. - Users note a **lack of clear direction** in data management capabilities, indicating a need for improvement in integration. #### What Are Recent G2 Reviews of Commerce AI? **"[Commerce AI - Seamless Automation with AI](https://www.g2.com/survey_responses/commerce-ai-review-8548656)"** **Rating:** 4.0/5.0 stars *— Verified User in Manufacturing* [Read full review](https://www.g2.com/survey_responses/commerce-ai-review-8548656) --- ### 19. [Consumable AI](https://www.g2.com/products/consumable-ai/reviews) Unlock the power of AI-driven insights with Consumable AI, a cutting-edge tool that simplifies data analysis and provides actionable recommendations for businesses and individuals alike. This innovative solution streamlines complex processes, elevates decision-making, and drives tangible results. Experience the transformative potential of AI-driven intelligence with Consumable AI. **Who Is the Company Behind Consumable AI?** - **Seller:** [Consumable AI](https://www.g2.com/sellers/consumable-ai) - **Year Founded:** 2024 - **HQ Location:** Jaipur, IN - **LinkedIn® Page:** https://www.linkedin.com/company/consumable-ai/ (13 employees on LinkedIn®) ### 20. [CONTEXTCLOUD](https://www.g2.com/products/contextcloud/reviews) CONTEXTCLOUD, the "customer understanding machine". CONTEXTCLOUD enables publishers and marketers to dive into the heads of their target groups, helping them to deliver relevant content and optimize targeting on digital channels. With CONTEXTCLOUD's unique "Customer-Understanding-AI" that utilizes vast world knowledge-based analytics, users can easily develop data-driven content and campaign strategies, and systematically plan topic & editorial plans. The unique SWOT analyses automatically compare your owned content with your competition and identify the most profitable topic areas - always differentiated for different target groups and categories. For data-supported sustainable communication and positioning in the market. Leading companies and organizations such as ADAC, ING-DiBa, Panasonic or the German Federal Employment Agency appreciate and use the powerful instruments of CONTEXTCLOUD. You already know your customers through user tracking? But you know nothing about the 99.98% of potential customers who do not yet know you and your content. With CONTEXTCLOUD you can close this blind spot. Move away from standard socio-demographic and personal data and embrace "Deep Context Personas" with emotional attitudes, behaviors, areas of interest and political beliefs. Immerse yourself in the lifeworlds of your customers. CONTEXTCLOUD not only understands the realities of your customers, but is also able to read "between the lines", understand the context and resolve ambiguities through differentiated observation in more than 700 different subject areas. In addition, it determines sentiments and moods, reliably identifies risks (war, drugs, sexuality, hate speech, etc.) and intelligently classifies entities such as locations, dates, deadlines, norms or amounts. As a SaaS platform, CONTEXTCLOUD offers powerful data analysis cockpits in the form of dashboards or search applications. The functions can also be integrated into existing systems (CMS, PIM, ERP, CRM, DMP, etc.) via API interface. **Who Is the Company Behind CONTEXTCLOUD?** - **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®) ### 21. [Customer Intelligence Platform](https://www.g2.com/products/customer-intelligence-platform/reviews) Adaptive Pulse identifies at-risk and expansion customers for B2B SaaS companies. We help prioritize retention efforts, reduce churn and increase revenues. Using advances in NLP and predictive analytics, we analyze internal and external data sources including structured and unstructured data to provide a unified view of the customer, which segments are the most at-risk, like to expand, and how to successfully convert them. **Who Is the Company Behind Customer Intelligence Platform?** - **Seller:** [Adaptive Pulse](https://www.g2.com/sellers/adaptive-pulse) - **Year Founded:** 2020 - **HQ Location:** Waterloo, CA - **LinkedIn® Page:** https://www.linkedin.com/company/28815962 (1 employees on LinkedIn®) ### 22. [DataScava Unstructured Data Miner](https://www.g2.com/products/datascava-unstructured-data-miner/reviews) DataScava is an automated software product built upon patented technology that pinpoints valuable unstructured data with precision using your unique business and domain-specific language, while keeping the human in command. It complements big data applications in AI, LLMs, Machine Learning, RPA, business intelligence, research, talent matching,and other downstream systems, generating metadata about raw text used to curate, search, filter, match, label, tag, and route heterogeneous textual content in real-time. Our three proprietary methods -- Tailored Topics Taxonomies, Domain-Specific Language Processing, and Weighted Topic Scoring -- help you focus on the information you care about and easily adapt to evolving industries and user needs. DataScava powers TalentBrowser. **Who Is the Company Behind DataScava Unstructured Data Miner?** - **Seller:** [DataScava](https://www.g2.com/sellers/datascava) - **Year Founded:** 2016 - **HQ Location:** New York, US - **Twitter:** @datascava (98 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/15234342 (6 employees on LinkedIn®) ### 23. [Dcipher Analytics](https://www.g2.com/products/dcipher-analytics/reviews) Dcipher Analytics is the modern no-code, end-to-end SaaS-based knowledge automation and text analytics platform that makes text analytics available for the general domain expert. Organizations use it to get value from analyzing customer feedback, mine social media to understand consumer needs and pains, and identify emerging trends through free-form text responses, trendspotting, and horizon scanning. Dcipher Analytics can save insight professionals valuable time by automating their tedious work so they can focus on what the insights mean for their organization and how they can take the best course of action. The platform accelerates the time-to-insight, model training, and automation of workflows for all analysts and insight professionals. The solution’s foundation is a unique architecture and proprietary query language tailored for unstructured data, such as text. What makes us unique? Dcipher Analytics is a unique solution for automating insight workflows. It provides all the data sources, automated workflows, algorithms, and AI tools you need in one place. Interact with data through an intuitive visual interface to prep, explore, enrich, and build models faster than ever before—all without the need to code. Code-Free AI: Placing the power of state-of-the-art algorithms and models in the hands of analysts and insight professionals, making the world’s most powerful AI models easy to use through simple drag-and-drop. Flexible End-to-End Solutions: Making it easy to automate the process of extracting insights from unstructured text according to your needs. Select all the sources, methods, and models you need in a unified and interoperable platform. Enterprise-grade technology at scale, with speed: Achieving quick time-to-insight at the scale of your needs, whether you want to analyze a single report or millions of news articles. Leverage distributed and fully parallelized computing in the cloud to optimize for datasets of all sizes. To see some examples of analyses done using Dcipher Analytics, read more on our blog @ dcipheranalytics.com/blog **Who Is the Company Behind Dcipher Analytics?** - **Seller:** [Mats Lindgren](https://www.g2.com/sellers/mats-lindgren) - **Year Founded:** 2018 - **HQ Location:** Stockholm, SE - **LinkedIn® Page:** https://www.linkedin.com/company/dcipher-analytics (9 employees on LinkedIn®) ### 24. [deepsight cloud](https://www.g2.com/products/deepsight-cloud/reviews) deepsight cloud is a GDPR-compliant AI text analytics platform that turns open-ended survey and employee feedback into clear topics, sentiment, and insights in minutes. Built in Germany for HR and market research teams, it replaces manual coding, Excel chaos, and slow workflows with fast, secure, self-service analysis. **Who Is the Company Behind deepsight cloud?** - **Seller:** [deepsight](https://www.g2.com/sellers/deepsight-df6ca12f-c691-4eda-8088-8ec5f6db3611) - **Year Founded:** 2019 - **HQ Location:** Osnabrück, DE - **LinkedIn® Page:** https://www.linkedin.com/company/deepsight-gmbh/ (5 employees on LinkedIn®) ### 25. [DeskSense](https://www.g2.com/products/desksense/reviews) DeskSense conducts website text analysis and acts as a Q&A assistant, making research more efficient and informative. **Who Is the Company Behind DeskSense?** - **Seller:** [DeskSense](https://www.g2.com/sellers/desksense) - **HQ Location:** N/A - **LinkedIn® Page:** https://www.linkedin.com/company/No-Linkedin-Presence-Added-Intentionally-By-DataOps (1 employees on LinkedIn®) ## 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.