Analysis of user feedback in the mobile app store using text mining: A case study of Google Fit
Journal
Proceedings - 2017 IEEE 8th International Conference on Awareness Science and Technology, iCAST 2017
Journal Volume
2018-January
Pages
50-54
Date Issued
2017
Author(s)
Lai, Y.-H.; Huang, F.-F.
Abstract
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.
Type
journal article