Fraud App Detection Using Sentiment Analysis

Abstract

The smartphone industry is expanding quickly, there are increasing numbers of mobile applications available in the market every single day.Users have confusion while downloading applications because there are a lot of them on the market.As a result, it's important to monitor and create a system to determine whether or not the apps that are there are authentic.The goal is to create a system that uses sentiment analysis and the Naive Bayes algorithm to identify fraudulent apps before users download them.Therefore, we are putting forth a system that uses the Naive Bayes algorithm to evaluate the application's data, comments, and three reviews in order to produce results.Consequently, choosing a fraud application will be simple.