Reliability of mobile application analysis based on the user reviews of health and fitness category which are available from google play store

Abstract

The current world everything embedded in the mobile phone and it has many uses in the field of life. Google apps store is a very important role to playing the mobile application development. This research proposed the reliable Health and fitness mobile application based on the Apps reviews which are given by end-user. An end-user of mobile application review has to be analyzed in various methods because all the users do not have the same knowledge and same requirements but their review or feedback should depend on their knowledge, requirement and user experience. In this research mainly we are targeting non-technical attributes which are gathered from Google play store to analyze the reliability of health and fitness mobile application based on user review, using the Natural Language Process techniques and classification models. In the current world has live technology improvements and day to day different need of user requirements so this will reflect the mobile application world trend, and it will make live changes in google play app store also. Based on user review we can to find out proper path to analysis the google play store data to get an effective result in this research because that apps store has more complicated data in a different perspective of Health and Fitness area. Research has tended to focus for Google play apps store customer has easy to find out the efficient application of Health and Fitness and comparing other mobile apps which are placed in the same apps store. Accordingly to that concept of our research final data will be produced in a structured database. In future idea from this updated database link with the mobile application to upload the google play store for the user access and user can easily predict the which application is efficient of their appropriate requirement.