Analysis of user feedback in the mobile app store using text mining: A case study of Google Fit

Application distribution platforms (or mobile app stores) provide a space for users to submit feedback or ratings for downloaded software. These platforms have become very important for both software providers and users in communication. The really image of what users' demands can be obtained from the analysis of large-scale data of user feedback. This study analyzes 4,480 user feedbacks from a health and fitness-tracking app in the Google Play with text mining. The result of this study shows that the users of health and fitness-related apps are concerned about their physical activity records and physiological records. The records include track, distance, time, and calories burned during jogging or walking…etc. Besides, the connection between the mobile device and wearable devices is very important for users.