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Stream/Area:
-
Subject:
-
Paper ID:
10.55041/IJSREM58203
Volume:
10 |
3 |
Mar 2026
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.
This project focuses on developing a smart and automated tool designed to analyze large volumes of comments in real time. The primary objective is to classify comments into sentiment categories such as positive, negative, or neutral, while also incorporating mechanisms to filter out spam and toxic content that may include offensive or abusive language. Unlike traditional sentiment analysis systems, this project integrates emoji mapping, where emojis are interpreted and mapped to their respective sentiment categories, resulting in a more precise and user-centric analysis of digital expressions. To enhance the interpretability of results, the system provides graphical visualizations such as pie charts, bar graphs, and word or emoji clouds. These visual tools allow users to quickly understand sentiment distribution,
KEYWORDS
Publication Date
3/25/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
Funding Information
No funding information available for this research.
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