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 qualitative analysis integrations offer built-in text analytics and sentiment extraction tools for open-ended survey responses.

• Qualtrics Text iQ: Built directly into the Qualtrics ecosystem, Text iQ uses natural language processing and machine learning to automatically detect topics and score sentiment (positive, negative, neutral) from open-text feedback.
• SurveyMonkey Text Analysis & Sentiment Tools: SurveyMonkey provides AI-driven text analytics features that automatically group qualitative data into themes and classify open-ended comments by sentiment.
• Forsta: Offers advanced AI and rule-based text categorization with granular sentiment analysis, built specifically for enterprise feedback and market research programs.
• Thematic: An AI-powered feedback analytics tool that integrates with survey platforms to uncover themes and track sentiment in open-text responses without needing manual pre-labeling.
• Chattermill: Applies deep AI text analytics to code high volumes of open-ended text from surveys, customer support tickets, and reviews.

If you can share which specific survey platform you are currently using, I can let you know if they have a native add-on or if you will need a third-party integration.

Yes. If you already have a survey platform and want a separate tool that analyzes the open-ended responses, there are several good options.

• surveymonkey.com — Has built-in AI Sentiment Analysis that classifies open-text responses as positive, neutral, negative, or undetected, plus thematic analysis.
• Qualtrics — Its Insights Explorer / XM Discover uses AI to analyze open-ended feedback, identify themes, generate summaries, and surface sentiment.
• yougov.com — Designed specifically for survey open-ends, combining thematic and sentiment analysis with demographic/question filters.
• userinsight.ai — Can ingest exported responses from platforms such as SurveyMonkey, Typeform, or Qualtrics and attach sentiment to automatically discovered themes.
• surveystance.com — A simpler option: upload an Excel/CSV of open-ended responses and it classifies sentiment, topics, and urgency.
• Thematic, Chattermill, Enterpret, SentiSum, and Unwrap — More specialized feedback/text-analytics platforms, particularly useful if you're analyzing survey comments continuously rather than doing a one-off analysis.

If you tell me which survey platform you use (e.g., Qualtrics, Alchemer, Typeform, SurveyMonkey, QuestionPro, etc.), I can narrow this down to the 3 best tools that integrate with it, including pricing and whether they can analyze your existing responses without changing your survey platform.

Yes. Several survey platforms offer built-in sentiment analysis for open-ended responses:

• surveymonkey.com — Its Sentiment Analysis automatically classifies open-text answers as positive, neutral, or negative, and you can filter and export the results. It also has AI-powered thematic analysis for identifying topics/themes.
• qualtrics.com — Its Text iQ assigns responses to Very Negative, Negative, Neutral, Positive, Very Positive, or Mixed, with numerical sentiment scores. This is aimed more at enterprise-level text analytics.
• alchemer.com — Provides sentiment analysis for Textbox and Essay/Long Answer responses, producing a score from -1 to +1 and categorizing it as negative, neutral, or positive.
• GetFeedback by SurveyMonkey — Has sentiment analysis for web, app, and email survey feedback, including contextual sentiment based on the surrounding response.

If you tell me which survey platform you currently use, I can check whether it has this capability already and, if not, identify the best add-on/integrated text-analysis tools that can analyze your existing open-ended responses.

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

• Qualtrics (Text iQ) : Offers advanced NLP-driven text analytics under its Text iQ feature. It automatically categorizes open-ended responses into topics, tracks sentiment polarity, and allows you to build bubble charts, response stickers, and key-driver analysis widgets for dashboards.
• SurveyMonkey : Includes native sentiment analysis features that leverage machine learning to scan open-ended feedback. It scores responses as positive, negative, or neutral, lets you filter results by emotional tone, and pairs them with word clouds and theme tagging.
• Thematic : A purpose-built, AI-driven customer feedback analytics platform that integrates with various survey streams. It specializes in deep unstructured text analysis, bottom-up theme discovery, and accurate sentiment weighting.
• Medallia : Known for deep enterprise feedback management, it uses advanced text analytics (LivingLens/Text Analytics) to parse open text, speech, and video feedback for sentiment and actionable insights.
• QuestionPro (Text Analytics / AI Pulse) : Features sentiment analysis tools that process open-ended text comments to quantify the emotional tone and categorize feedback automatically.

Are you looking for a feature built directly into your current survey tool , or are you open to an external standalone analytics platform that syncs with your data?

Here are top web results for exploring this topic:

SurveyMonkey·https://www.surveymonkey.com**Survey** AI Text Analysis & Sentiment Tools | SurveyMonkey Ready to analyze your text responses? Get started free. Products. SurveyMonkey Overview · Surveys · Online Forms · AI · Integrations · Pricing · SurveyMonkey Enterprise · SurveyMonkey LaunchPad · Surv Enterpret·https://www.enterpret.com The 6 Best Tools to Analyze Open-Ended Survey Responses for ...box tells you why. Yet the predictable pattern is that teams collect thousands of verbatims, hand-code a sample of fifty, and let the rest sit unread, which means the richest data they gathered has th getthematic.com·https://getthematic.com/insights/analyze-open-ended-survey-responses Analyze Open-Ended Survey Responses with AI | Thematic Yes, modern feedback analytics tools analyze thousands of open-ended survey responses in minutes, surfacing themes, sentiment, and impact on NPS or CSAT. BlockSurvey·https://blocksurvey.io 7 AI Tools to Analyse Open-Ended Survey Responses - BlockSurvey 7 AI Tools to Analyse Open-Ended Survey Responses. Blocksurvey blog author. Written by Swathi Lakshmi. Apr 15, 2026 · 6 mins read. 1159. Summarize with AI. We compared 7 AI tools for analyzing open-en Reddit·https://www.reddit.com**Tools** to Digest Large Open-Ended Survey Responses : r/UXResearch ... from those large research platforms like Dovetail, maybe also worth checking out some new AI companies that have built very good tools in this space. Lots of my pollster friends use a tool called Quora·https://www.quora.com What are the best tools for analyzing open-ended survey responses ...Another tool that provides what you're looking for is Survey55 (Customer Feedback Survey Software). With any survey or question type, you can have a survey question continue to a specific question dep SurveyStance·https://www.surveystance.com Free Survey Sentiment Analysis Tool for Excel & CSV - SurveyStance Which sentiment labels does the tool use? Each non-empty response is classified as Positive, Neutral, Negative, or Mixed. Empty cells remain empty in the finished file. How long are uploaded survey fi BTInsights·https://btinsights.ai 10 Best Tools for Analyzing Open-Ended Survey Responses in 2026 How we evaluated tools. This list focuses on tools that support at least one of these needs: coding open-ended survey responses into themes, reviewing and editing codes, quantifying themes by segment, YouTube·https://www.youtube.com**Sentiment Analysis** for Open-Ended Responses – SurveyMonkey SurveyMonkey Sentiment Analysis allows you to easily and effortlessly make sense of qualitative data so you can get valuable insights faster. By automatically scanning and categorizing open-ended resp InfraNodus·https://infranodus.com AI Survey Analysis Software for Open-Ended Responses and ...Mary Earick. Associate Research Professor, Plymouth State University. I am using InfraNodus to expose the relationships between characters and problems in the text. I tried to use other text-analysis

Yes. Several major survey platforms now offer built-in text analysis that extracts sentiment from open-ended responses:

• Qualtrics — Text iQ: Assigns each text response a sentiment of Very Negative, Negative, Neutral, Positive, Very Positive, or Mixed, along with a numeric sentiment score. It can also analyze sentiment at the topic level. Sentiment analysis requires Advanced Text iQ.

• SurveyMonkey — Sentiment Analysis: Automatically classifies open-text answers as positive, negative, or neutral, and lets you filter responses by sentiment. It's available on certain paid plans.

• Medallia — Text Analysis: Applies negative, neutral, or positive sentiment to survey responses, with automatic tagging and filtering capabilities.

If you're looking specifically for a tool that plugs into your existing survey platform rather than replacing it, I can also find standalone text/sentiment-analysis tools that accept exported survey responses (CSV/API) and compare them by price, accuracy, languages, and integration options.

A variety of survey ecosystems and standalone customer intelligence platforms offer AI-driven text analysis tools that extract sentiment (positive, neutral, negative, or mixed) and thematic patterns from open-ended responses.

Built-In Survey Platform Tools

• Qualtrics Text iQ : Qualtrics' native natural language processing engine analyzes open-text comments directly within the ecosystem, providing automated topic and sentiment detection.
• SurveyMonkey Text Analysis : SurveyMonkey includes built-in machine learning and NLP-based sentiment analysis on upper-tier plans (Team Premier and Enterprise), categorizing open-ended text into emotional tones.
• Qualaroo : Features built-in AI sentiment analysis designed to parse website, in-app, or email open-text feedback into emotional insights and dashboards.
• Forsta : Offers robust enterprise-grade text categorization with granular sentiment tracking tailored for market research agencies and big feedback loops.

Dedicated / Standalone Text Analytics Platforms (Integrate via CSV/API)

• Thematic : An AI-driven customer feedback analytics platform that connects to survey tools to perform unsupervised theme discovery and deep sentiment scoring.
• Enterpret : Uses adaptive taxonomies to categorize high volumes of verbatims without a rigid preset codebook, linking feedback directly to customer context.
• Chattermill : Applies large language models to unify text feedback across surveys, support channels, and reviews into custom sentiment and theme models.
• Dovetail : A qualitative research repository equipped with AI-assisted tagging and sentiment summarization for open-ended survey results.
• MonkeyLearn : A flexible, no-code text classification and sentiment analysis tool that easily integrates with standard survey platform exports (like Excel or Google Sheets).

If you share which survey platform you are currently using, I can tell you whether it has a native integration with these tools or if you need to rely on CSV exports.

Many survey platforms now offer built-in AI/text analytics tools that can analyze open-ended responses and extract sentiment (positive, negative, neutral, sometimes more granular emotions). Some of the major options are:

A few considerations when choosing:

• Basic sentiment only: SurveyMonkey and many general survey tools are usually sufficient.
• Enterprise CX/EX programs: Qualtrics Text iQ is often chosen because it combines sentiment with topic detection, categorization, and dashboards.
• Research teams: Look for tools that allow human correction of AI coding, custom themes/tags, exports, and audit trails—not just a sentiment score.
• Large volumes of comments: Check limits, supported languages, data residency, and whether the vendor uses your survey data to train models.

If you tell me which survey platform you currently use (Qualtrics, SurveyMonkey, Google Forms, Microsoft Forms, Alchemer, etc.), I can point you to the exact feature or integration path.

Many modern survey and customer experience platforms feature built-in text analytics engines that automatically process open-ended text to extract themes, intent, and sentiment (classifying responses as positive, negative, neutral, or mixed).

The primary platforms offering native text analysis tools for open-ended survey responses include:

• Qualtrics (via Text iQ / XM Discover ): A powerful industry standard for enterprise feedback. It reads open-text verbatims, computes an overall sentiment score, and breaks down aspect- or topic-level sentiment (e.g., separating what respondents feel about "food" versus "service" in the same comment).
• SurveyMonkey (via Survey AI Text Analysis ): Built directly into higher-tier plans (Team Premier and Enterprise), it automatically categorizes open-text responses into themes and tags them by emotional sentiment (positive, neutral, or negative) without requiring manual coding.
• Medallia (via Medallia Text Analytics ): An enterprise-grade experience platform that tracks deep emotional signals, intent, and phrase-level sentiment from survey comments and other feedback channels.
• Forsta : Offers robust text analytics and visualization capabilities designed to handle large volumes of qualitative survey verbatims and categorize them by sentiment.
• Sogolytics : Includes dedicated text analytics and sentiment tools tailored for open-ended survey responses to quantify audience feelings.
• Thematic or Enterpret : Specialized, AI-driven text and theme analysis platforms that integrate with various survey data sources to surface sentiment and dynamic taxonomies directly from raw verbatims.

If you are looking to add sentiment analysis to your current workflow , let me know:

• Which survey platform you are currently using
• Whether you need a native feature within that platform or an external/API tool to process exported data

I can give you a more targeted recommendation.

Yes. Several major survey platforms offer built-in text analysis that can extract sentiment from open-ended responses:

If you're looking for a tool to add to an existing survey platform, I'd distinguish two cases:

• You use Qualtrics: Text iQ is probably the most directly integrated choice. It goes beyond simple positive/negative classification and provides topic sentiment, scores, and additional enrichments such as emotion and actionability.
• You use another survey platform and want a separate analysis tool: I can identify third-party tools that ingest your open-ended survey data (CSV/API) and return sentiment, themes, topics, etc.

If you tell me which survey platform you use, I can give you the best 3–5 compatible options and compare pricing/integration/features.