Python data odyssey: Mining user feedback from google play store

This is the authors' abstract. We don't add key points for this paper.

The Google Play Store is widely recognized as one of the largest platforms for downloading applications, both free and paid. On a daily basis, millions of users avail themselves of this marketplace, sharing their thoughts through various means such as star ratings, user comments, suggestions, and feedback. These insights, in the form of comments and feedback, constitute a valuable resource for organizations, competitors, and emerging companies seeking to expand their market presence. These comments provide insights into app deficiencies, suggestions for new features, identified issues, and potential enhancements. Unlocking the potential of this repository of suggestions holds significant value.