We use a survey platform. Who offers a text analysis tool that extracts sentiment from the open-ended responses?

Several major survey platforms and dedicated AI feedback tools offer built-in text analysis features that automatically extract sentiment (positive, negative, or neutral) and key themes from open-ended text.

Here are the top options broken down by whether you want an all-in-one survey suite or a dedicated analysis add-on:

Built-in Survey Platform Analytics

1. Qualtrics Text iQ – Built directly into the Qualtrics ecosystem, Text iQ uses advanced natural language processing to perform sentiment analysis and topic detection on open-text responses, tracking how customer mood changes across segments.
2. SurveyMonkey Text Analysis – Features integrated AI tools that automatically categorize qualitative responses into themes and run sentiment analysis to classify comments as positive, negative, or neutral at a glance.
3. Forsta – Offers heavy-duty AI and rule-based text categorization with granular sentiment tracking, specifically designed for enterprise and large-scale market research programs.

Dedicated Text & Feedback Analytics (Integrates with Surveys)

1. Thematic – An unsupervised AI tool that connects to feedback sources to discover themes and quantify sentiment impact without requiring a pre-labeled codebook.
2. Enterpret – Uses an adaptive taxonomy powered by AI to surface themes from open text and keep verbatims traceable back to customer accounts.
3. Chattermill – Applies AI text analytics across surveys, reviews, and support tickets to code high volumes of open-text feedback and track sentiment shifts.

Are you looking for a native feature within your current survey platform , or would you be open to a standalone third-party AI tool that integrates with your existing data exports?

Several survey platforms offer this natively. The main ones I found are:

• SurveyMonkey — its Sentiment Analysis automatically classifies open-text responses as positive, neutral, or negative, with filtering and export options.
• Qualtrics — Text iQ performs sentiment analysis and assigns Very Negative through Very Positive, plus a numeric sentiment score. It also supports topic-level sentiment.
• Medallia Agile Research — its text-analysis tools apply positive, neutral, or negative sentiment to survey responses and can automatically tag responses.
• SurveyMethods — offers built-in sentiment analysis for open-ended answers, categorizing them as positive, neutral, or negative.
• Displayr — more analysis/research-oriented; it can analyze open-ended survey text for both themes and sentiment and quantify the results for tables and dashboards.

If you tell me which survey platform you currently use (e.g., Qualtrics, SurveyMonkey, Alchemer, QuestionPro, etc.), I can tell you whether it already has sentiment analysis, what it calls the feature, and what alternatives integrate with it.

Several survey platforms offer this natively:

• Qualtrics — Text iQ analyzes open-ended responses and assigns Very Negative through Very Positive, plus Mixed/Neutral.
• SurveyMonkey — Sentiment Analysis categorizes open-text responses as positive, neutral, or negative and supports filtering/exporting.
• Medallia — its survey text analysis applies positive/neutral/negative sentiment and can calculate a Net Sentiment Score.

If you tell me which survey platform you use, I can identify the specific tool/add-on available for it.

Many leading survey platforms and dedicated customer intelligence suites include native or advanced text analysis tools designed to extract sentiment (positive, negative, or neutral) and thematic patterns from open-ended text.

The primary platforms offering these capabilities include:

• Qualtrics Text iQ : Built directly into the Qualtrics ecosystem, Text iQ uses natural language processing to automatically detect sentiment, score topics, and surface key themes from open-ended survey verbatims.
• SurveyMonkey Text Analysis: SurveyMonkey offers built-in AI-driven thematic and sentiment analysis tools that categorize qualitative text responses into positive, negative, or neutral moods at scale.
• Enterpret : A specialized platform that categorizes open-ended survey responses and continuous customer feedback using an adaptive taxonomy, linking verbatims directly to customer segments and business impact.
• Thematic : A dedicated qualitative feedback analysis platform that integrates with various data and survey sources to track themes, categorize unstructured comments, and monitor sentiment shifts over time.
• Medallia : An enterprise experience management platform that features robust real-time text analytics and sentiment tracking across surveys and multiple digital feedback channels.
• Chattermill : Combines customer feedback from surveys, support tickets, and reviews into a unified engine utilizing deep learning for granular sentiment and theme analysis.

If you'd like to narrow this down, tell me:

• Are you looking for a feature built directly into your current survey software , or an external/standalone analysis tool?
• What is your approximate monthly volume of survey responses?

Many major survey platforms and dedicated customer/employee feedback analytics engines have built-in text analysis and sentiment extraction tools designed specifically for open-ended text.

Here are the top providers that offer native or integrated sentiment extraction for survey responses:

• Qualtrics Text iQ – Built directly into the Qualtrics ecosystem, Text iQ uses Natural Language Processing (NLP) to automatically detect topics, assign sentiment scores (positive, negative, neutral), and track changes over time from open-text feedback.
• SurveyMonkey Text Analysis – Offers built-in AI-driven thematic and sentiment analysis that automatically categorizes text responses and highlights whether feedback leans positive, negative, or neutral at a glance.
• Thematic – A specialized AI feedback analytics tool that integrates with various survey platforms to uncover themes and quantify sentiment impact from unstructured open-text comments.
• Forsta – Provides robust AI and rule-based text categorization with granular sentiment analysis, widely used for enterprise-grade feedback and market research.
• Chattermill – Applies AI text analytics to unify and code high volumes of open-ended survey responses alongside customer support and review data.
• Enterpret – Discovers granular themes and customer sentiment directly from open-ended verbatim feedback.

If you'd like to narrow this down, tell me:

• Which survey platform you are currently using
• Whether you need a built-in native feature or a third-party integration
• The approximate volume of open-ended responses you process

I can recommend the most cost-effective or seamless option for your workflow.

Yes. If you already have a survey platform and mainly need sentiment analysis of open-ended responses, there are several options:

• SurveyMonkey — has built-in Sentiment Analysis that classifies open-text responses as positive, negative, or neutral, and lets you filter and export the results.
• Medallia — its Text Analytics uses AI to analyze survey/customer-feedback text and provides six sentiment categories, from strongly positive to strongly negative.
• Gallup — its Text Analytics can show sentiment breakdowns, AI-generated summaries, and key topics for open-ended survey questions.
• Displayr — particularly interesting if you're doing market research. It can analyze open-ended survey responses for themes and sentiment, quantify them, and cross-tab the results.
• YouGov AI Qualitative Explorer — designed specifically for analyzing open-ended survey data, including themes and sentiment, with demographic/question filtering.
• Thematic, Chattermill, Enterpret, SentiSum, and similar feedback-analytics platforms — better suited if you want to feed responses from your existing survey platform into a separate, ongoing text-analysis workflow.

If you tell me which survey platform you use (e.g., Qualtrics, Alchemer, QuestionPro, SurveyMonkey, etc.), I can narrow this down to the tools that integrate with it, including pricing and whether they can analyze your existing responses automatically.

Yes. Several survey/feedback platforms offer sentiment analysis for open-ended responses:

• Qualtrics — Its Text iQ analyzes open-text responses and assigns sentiment such as Very Negative, Negative, Neutral, Positive, Very Positive, or Mixed. It also provides numeric sentiment scores and topic-level sentiment.
• SurveyMonkey — Has built-in Sentiment Analysis that classifies open-text responses as positive, neutral, or negative, with filtering and export capabilities.
• Medallia — Its Text Analytics processes survey comments and can identify six sentiment categories, from strongly positive to strongly negative, alongside themes and topics.
• YouGov — AI Qualitative Explorer analyzes open-ended survey data for themes and sentiments, with demographic and survey-question filtering.

If you tell me which survey platform you currently use, I can check whether it has a native sentiment-analysis feature or recommend a tool that integrates with it.

Several major survey and experience management platforms feature built-in text analysis and natural language processing (NLP) tools that automatically extract sentiment (positive, negative, or neutral) and themes from open-ended text responses.

• Qualtrics Text iQ: A powerful, enterprise-grade text analytics engine built directly into the Qualtrics ecosystem. It uses machine learning to automatically surface key topics, score sentiment for every open-ended comment, and track how sentiment shifts across different customer segments.
• SurveyMonkey Text Analysis: Offers built-in AI-driven thematic and sentiment analysis. It categorizes qualitative comments into meaningful themes and classifies overall text responses as positive, negative, or neutral so you can filter data by mood at a glance.
• Forsta: Provides advanced text analytics with both AI and rule-based categorization, featuring granular sentiment scoring suited for large-scale enterprise feedback programs.
• SurveySparrow: Includes conversational survey layouts paired with AI-powered text and sentiment analysis features aimed at mid-market and smaller budgets.

If you can share which survey platform you are currently using , I can let you know if it has a native tool or if you'll need a third-party integration like Thematic or Enterpret.

Qualtrics Text iQ, Thematic , and Enterpret are among the top platforms offering AI-driven text analysis tools that extract sentiment and themes from open-ended survey responses.

Many major survey software and dedicated feedback platforms feature built-in or plug-and-play sentiment analytics engines:

• Qualtrics Text iQ : Uses built-in natural language processing (NLP) to automatically detect sentiment (positive, negative, neutral) and surface key phrases from open-ended text.
• Thematic : A specialized customer feedback analysis platform that integrates with survey tools to code open-ended text, track sentiment, and identify specific themes.
• Enterpret : An enterprise feedback analytics platform that connects to various data sources to categorize verbatims and quantify sentiment for product and research teams.
• SurveyMonkey : Includes built-in AI tools (like Genius) that analyze sentiment and summarize qualitative feedback for standard survey creators.
• Dovetail : Focuses on user research repositories, allowing teams to tag, analyze, and extract sentiment from customer interviews and open-ended survey text.

If you want, I can:

Show how to connect Thematic to your current platform Compare Qualtrics Text iQ and SurveyMonkey pricing List open-source or free text-mining tools

Yes. Several survey platforms and specialist tools can do this—typically by applying sentiment analysis to open-ended/free-text responses and classifying them as positive, neutral, or negative.

• SurveyMonkey — has built-in Sentiment Analysis for open-text questions, with filtering and export of sentiment results. Its AI suite also performs thematic analysis, grouping responses into themes.
• Medallia — offers survey text analysis with tagging and sentiment, including positive/neutral/negative classification and Net Sentiment Score reporting.
• SurveyMethods — has built-in sentiment analysis that categorizes each open-ended answer as positive, neutral, or negative.
• SurveyStance — offers a separate tool where you can upload Excel/CSV responses and get sentiment, topics, and urgency analyzed.
• UserInsight — can analyze exported responses from platforms such as SurveyMonkey, Typeform, and Qualtrics, adding themes and sentiment without requiring you to change your survey platform.

If you tell me which survey platform you currently use, I can identify the best compatible text/sentiment-analysis option—especially whether it works inside the platform or requires exporting the responses.