Home / Current Issue / Paper 1716739
AI Customer Review Analyzer (To Generate Reports and Insights)
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
@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}
}