Text mining tools specifically designed for app reviews

Automatically group by phrase, word or topic with Appbot's intuitive text mining tools.

Text mining illustration
Example of natural language text analysis

Why text mining is critical for app reviews

Text mining refers to analysis techniques for aggregating and understanding the common themes in a body of text. Text mining tools offer actionable insights into the words and topics that are powering customer sentiment for your apps, without the need to read each app review individually.

Appbot's text mining tools make it easy to see what delights customers, what frustrates them and how the changes you make to your apps are received by your users. Get fast, useful feedback from your own customers so you can improve faster than ever.

Supported app store channels

Surface trends in app reviews in minutes

Appbot helps feedback-driven app developers focus on improvement, not data analysis. Let us do the heavy lifting by automatically aggregating and analyzing your customer feedback from all major app stores:

Examples of different classification types

Make better roadmap decisions

Appbot's text mining tools were built specifically for the analysis of app reviews, where the use of language is often unconventional. Think emoji, abbreviations, or shouty reviews full of capitalization. Our Words, Topics and Tags tools can help you to answer questions like:

  • What is the sentiment for reviews that mentions our new feature?
  • What do customers think of our app's new design?
  • Are bug reports trending up or down in our reviews?
  • What is our most popular feature request?
Illustration of sentiment breakdown

Appbot offers more than text mining

Our purpose-built algorithms automatically aggregate and analyze your app reviews and ratings, using a range of different techniques. Use Appbot's suite of app review analysis tools, to dive deep into:

  • Sentiment
  • Ratings
  • Words, Phrases, Topics, Custom Topics & Tags
  • Emotions
  • ... and much more