Detecting Fraud App Using Sentimental Analysis By IJISRT

Author:

Kulshreshtha Adit,Sharma Ankit,Ahmad Shameem,Pandey Shubhanshu

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.

Publisher

International Journal of Innovative Science and Research Technology

Reference32 articles.

1. "Sentiment Analysis for Fraud Detection in Financial Statements" by B. Dass and R. Mehta (2017).

2. "Fraud Detection in Online Reviews using Sentiment Analysis" by A. Kumar and A. Singh (2019).

3. "Sentiment Analysis for Fraud Detection in Insurance Claims" by P. Kakkar and S. Kaur (2018).

4. "A Survey of Sentiment Analysis Techniques for Fraud Detection" by S. S. Bakshi and M. D. Jadhav (2020).

5. "Sentiment Analysis for Credit Card Fraud Detection" by G. G. Flores et al. (2019).

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