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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM42513
Volume:
9 |
3 |
Mar 2025
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.
â The rapid adoption of Artificial Intelligence (AI) has transformed customer feedback analysis, enabling businesses to track and interpret customer sentiment in real time. This research explores AI-driven sentiment analysis tools, emphasizing machine learning (ML) models and natural language processing (NLP) techniques. By analyzing over 1,500 customer reviews from diverse industries, the study demonstrates AIâs ability to detect emotional tones, extract actionable trends, and predict customer behavior. Real-time sentiment monitoring allows businesses to swiftly address negative feedback, enhance customer satisfaction, and optimize marketing strategies. Furthermore, the research highlights ethical considerations, advocating for transparency and fairness in AI-powered sentiment analysis. The findings encourage widespread adoption of AI-driven feedback systems for improved decision-making and competitive advantage in todayâs dynamic business environment.
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Publication Date
3/16/2025
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.
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