Loading article...
Loading article...
Stream/Area:
-
Subject:
-
Paper ID:
IJSREM31998
Volume:
8 |
7 |
Jul 2024
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
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.
KEYWORDS
Publication Date
10/10/2025
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
Documents
Article Views
0
Total views since publication
PDF Downloads
0
Total downloads since publication
Geographic Reach
5
Digital Preservation: This article is permanently archived on Zenodo and complies with all data preservation standards across major indexing platforms.
Plagiarism Screening
This manuscript has been checked for plagiarism using TurnitinPlagiarismChecker software.
Conflict of Interest
The authors declare no conflict of interest related to this research work.
Funding Information
No funding information available for this research.
Related research in the same subject area
Loading similar articles...