Text Analysis Tools for App Store Reviews

Understand app feedback at a glance

Get actionable insights into the words, phrases and topics that are powering customer sentiment for your apps, without reading app reviews manually. Appbot helps you understand the content of your aggregated app reviews in just a few minutes, without any need for manual categorization (though you can also categorize your app reviews manually, if you want to!).

Use Appbot's proprietary semantic analysis tools to see what delights customers, what frustrates them and how the changes you make to your apps and products are received.

Semantic analysis, built for app reviews

Appbot's semantic analysis tools were built specifically for the analysis of app reviews, where the use of language is unconventional. Conventional NLP tools aren't designed to reference emoji, abbreviations or shouty reviews full of capitalization. Our Words, Phrases, Topics and Tags tools can help you to answer questions like:

• What is the sentiment for feedback that mentions our new feature?
• What do customers think of our app`s new design?
• What are the most common Topics mentioned in our 1 star reviews?
• What are our most popular feature requests?

Make sense of your unstructured feedback

Our purpose-built AI automatically classifies and analyzes the unstructured text in your reviews. We look for common keywords, popular phrases, trending themes, and even let you configure your own topics to monitor. Use Appbot's text analysis tools, to dive deep into:

• Sentiment
• Keywords
• Common Phrases
• Trending Topics & Tags
• Emotional analysis
• ... and much more