AI Sentimental Analysis Using Customer Feedback

  • Unique Paper ID: 166658
  • Volume: 11
  • Issue: 2
  • PageNo: 1445-1451
  • Abstract:
  • AI Sentiment analysis of customer feedback assists organizations in understanding client feelings and attitudes, allowing them to enhance products, services, and overall customer satisfaction. Companies can determine total customer sentiment by analyzing text for positive, negative, or neutral sentiments and identifying are as that require work. Sarcasm identification is critical because sarcastic remarks might cause sentiment analysis to produce a false positive or negative result. Accurate sentiment analysis and sarcasm detection give vital information for decision-making and strategic improvements.

Copyright & License

Copyright © 2025 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

BibTeX

@article{166658,
        author = {AKASH SHARMA},
        title = {AI Sentimental Analysis Using Customer Feedback},
        journal = {International Journal of Innovative Research in Technology},
        year = {2024},
        volume = {11},
        number = {2},
        pages = {1445-1451},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=166658},
        abstract = {AI Sentiment analysis of customer feedback assists organizations in understanding client feelings and attitudes, allowing them to enhance products, services, and overall customer satisfaction. Companies can determine total customer sentiment by analyzing text for positive, negative, or neutral sentiments and identifying are as that require work. Sarcasm identification is critical because sarcastic remarks might cause sentiment analysis to produce a false positive or negative result. Accurate sentiment analysis and sarcasm detection give vital information for decision-making and strategic improvements.},
        keywords = {},
        month = {July},
        }

Cite This Article

  • ISSN: 2349-6002
  • Volume: 11
  • Issue: 2
  • PageNo: 1445-1451

AI Sentimental Analysis Using Customer Feedback

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