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1716739PublishedVol 9 · Issue 10

AI Customer Review Analyzer (To Generate Reports and Insights)

Manish Kumar Sharma Kashaf Ahamad Khan Ayush Pal Ishrat Ali Anuj Chandila

Subject area: Science,Engineering and Technology  ·  Area of research: Technology

DOI: https://doi.org/10.64388/IREV9I10-1716739

Abstract

Customer reviews play a crucial role in understanding user satisfaction and product quality. With the rapid growth of e-commerce platforms, analyzing a large volume of customer feedback manually has become impractical. This research paper presents an AI-based customer review analyzer that uses Natural Language Processing (NLP) and machine learning techniques to automatically analyze, classify, and summarize customer reviews. The system helps businesses identify customer sentiment, detect key issues, and improve decision-making efficiency.

Keywords

Customer Reviews, Artificial Intelligence, Sentiment Analysis, Natural Language Processing, Machine Learning, Opinion Mining

How to cite this paper

Manish Kumar Sharma, Kashaf Ahamad Khan, Ayush Pal, Ishrat Ali, Anuj Chandila "AI Customer Review Analyzer (To Generate Reports and Insights)" Iconic Research And Engineering Journals Volume 9 Issue 10 2026 Page 2990-2993 https://doi.org/10.64388/IREV9I10-1716739
Manish Kumar Sharma, Kashaf Ahamad Khan, Ayush Pal, Ishrat Ali, Anuj Chandila "AI Customer Review Analyzer (To Generate Reports and Insights)" Iconic Research And Engineering Journals, vol. 9, no. 10, May. 2026, doi: https://doi.org/10.64388/IREV9I10-1716739
Manish Kumar Sharma, Kashaf Ahamad Khan, Ayush Pal, Ishrat Ali, Anuj Chandila (2026). AI Customer Review Analyzer (To Generate Reports and Insights). Iconic Research And Engineering Journals, 9(10). doi: https://doi.org/10.64388/IREV9I10-1716739
Manish Kumar Sharma, Kashaf Ahamad Khan, Ayush Pal, Ishrat Ali, Anuj Chandila "AI Customer Review Analyzer (To Generate Reports and Insights)" Iconic Research And Engineering Journals, vol. 9, no. 10, May. 2026. Crossref, https://doi.org/10.64388/IREV9I10-1716739
@article{1716739,
      author = {Manish Kumar Sharma, Kashaf Ahamad Khan, Ayush Pal, Ishrat Ali, Anuj Chandila},
      title = {AI Customer Review Analyzer (To Generate Reports and Insights)},
      journal = {Iconic Research And Engineering Journals},
      year = {2026},
      volume = {9},
      number = {10},
      pages = {2990-2993},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1716739.pdf},
      abstract = {Customer reviews play a crucial role in understanding user satisfaction and product quality. With the rapid growth of e-commerce platforms, analyzing a large volume of customer feedback manually has become impractical. This research paper presents an AI-based customer review analyzer that uses Natural Language Processing (NLP) and machine learning techniques to automatically analyze, classify, and summarize customer reviews. The system helps businesses identify customer sentiment, detect key issues, and improve decision-making efficiency.},
      keywords = {Customer Reviews, Artificial Intelligence, Sentiment Analysis, Natural Language Processing, Machine Learning, Opinion Mining},
      month = {April},
      doi = {https://doi.org/10.64388/IREV9I10-1716739}
  }