Detecting Fraud App Using Sentimental Analysis

Adit Kulshreshtha; Ankit Sharma; Shameem Ahmad; Shubhanshu Pandey1

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Publication Date: 2024/03/20

Abstract: The software used in fake mobile applications mimics the functions of real, reliable, and legitimate applications. When these applications are released, they frequently display advertisements, affect personal information in the system, infect devices with viruses, etc. to make money. It causes malicious behaviour such as Most users cannot distinguish between real apps and fake ones. That is why people always review user reviews before installing an app. In this article, we introduce a website where users can learn more about an application before installing it. The results are based on previous reviews and ratings provided by users and provide an opportunity to determine the user experience for a particular mobile application. More importantly, we will evaluate the evaluation using emotional evaluation to check whether the text is emotional, that is, whether the text is emotional, i.e., whether the text is positive, negative, or negative.

Keywords: User Reviews, Sentiment Analysis, Lexicon, Tokenization, Stop Word Removal.

DOI: https://doi.org/10.38124/ijisrt/IJISRT24MAR890

PDF: https://ijirst.demo4.arinfotech.co/assets/upload/files/IJISRT24MAR890.pdf

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