DETECTING FRAUD APP USING SENTIMENT ANALYSIS

Abstract: Fake Web application is software that mimic functionality of valid, reliable and genuine applications. once this applications are installed they perform malicious actions like aggressively display advertisements to get revenue from that, intercept sensitive data from your system, infect devices and so on. Most of the times the user cannot differentiate between the fake and legitimate applications hence before downloading any app people always enquire about the opinion of the app by the users. In this paper we are introducing a platform where people can enquire about the application before downloading it. The results are based on previous reviews and ratings given by the user which provides a chance to recognize user experience with a particular mobile app. Basically we will analyze the reviews using sentiment analysis which is a text classification technique which analysis text and tells whether the sentiment is positive, neutral or negative

Keywords: Sentiment analysis, text classification