Our text analysis tools help you quickly see the wood from the trees and go from qualitative data to insights without the need for tedious manual work.

Stop drowning in feedback left in open-ended text and comment boxes. Thematic analysis uses AI to automatically categorise your qualitative responses into meaningful themes, providing a clear understanding of what people are saying without hours of manual work.

  • Identify and categorise key themes within your open-ended responses in seconds.
  • Save the time you would normally spend manually organising data into meaningful categories.
  • See how individual text responses align with key themes and easily export this data for further analysis.
A woman is typing on a laptop. An overlay shows a graphic titled ‘Top improvement themes’, with a bar chart showing themes like ‘Service quality’, ‘Staff performance’ and ‘Online banking experience’.
A dashboard showing a Sentiment Analysis bar with percentages for happy, neutral and sad faces. Below, individual customer responses are shown with a corresponding emoji, a topic tag and feedback text.

Assess how respondents feel, not just what they say. Sentiment Analysis classifies open-text responses as positive, negative or neutral, helping you to read the mood across thousands of comments with ease.

  • Save time as you see sentiments at a glance.
  • Filter by sentiment to identify specific areas that need attention and act quickly.
  • Filter a question by sentiment for even deeper insights.

Create word clouds for a quick visual interpretation of open-ended responses, highlighting the most frequently used words.

With customisable word clouds, you can:

  • Choose colours or fonts to highlight specific words.
  • Adjust the threshold for when words should appear.
  • Hide words that aren’t relevant.
  • Combine related words into a single category.
A Word Cloud graphic showing key terms from survey responses, with larger words like ‘Helpful’ and ‘Insightful’ indicating higher frequency.
A text analysis dashboard with tabs for ‘RESPONSES’, ‘WORD CLOUD’ and ‘TAGS’. The ‘TAGS’ view shows a bar chart of feedback categories such as ‘Checkout process’, ‘Customer service’ and ‘Product quality’ with their respective percentages.

Looking for something very specific in your response data? If so, tag your responses to uncover even more specific information in your open-ended response data.

  • Assign multiple, custom tags per response.
  • Filter by tag to get focused insights.
  • With an Enterprise plan, tags can be applied automatically as responses come in.

Note: Access to some text analysis features depend on your subscription plan.

Try it now and get 25 responses for free, or choose from our top plans.

*Additional charges apply for extra responses. SurveyMonkey Audience panel responses are sold separately.

An ‘Analyze with AI’ panel displaying a prompt saying “Give me a chart showing the average job satisfaction for each department” and, below it, a bar chart representing the results.

Ask questions about your survey responses and identify key themes and sentiment using SurveyMonkey AI.

An illustration of a bar chart with a line graph connecting the tops of the bars. A hand is drawing the line graph with a stylus.

Learn best practices and see FAQs about data analysis on the SurveyMonkey platform.

A dashboard showing a table with employee data, including name, department, location and tenure. An Excel logo is present, and a bar chart shows feedback about how often a manager gives feedback.

Learn how to analyse survey data in Excel and gain insights with our easy-to-follow guide.

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Explore SurveyMonkey features that help you get insights fast.