Sentiment user review analyzer for android applications

Abstract

Usage of mobile phones rapidly increased for the last decade globally. Introducing smart phones has led to a renaissance in mobile application development. Not only for make calls, send SMS phone to become smart so that it can be used for email access, web browsing, e-commerce, bill payments and entertainments etc. Because of this popularity application markets became massive. For the same purpose there are many applications deployed by different developers. Some apps can be considered as good, and some are not working as the user expect. And also there are many harmful applications which are stealing sensitive user information. As Android applications have been used by many people, lots of issues have been already identified and many type of research are done on this topic. Even though there are many android applications available in the market, it is difficult to select the most suitable one before use. To get an idea about the application which is going to be used, user needs to read many reviews and ratings. This manual process is time consuming and not efficient. In this project main aim is to develop a User Review analyzer which is gives a good analytical picture of the application before install.