Intelligent Customer Feedback Analysis System Using NLP Techniques

Omkar Rane, Deepali Naik

2025

Abstract

In the digital era, businesses receive vast unstructured client feedback containing valuable insights into customer satisfaction, product performance, and service quality. Thus, to extract actionable insights requires advanced analytical techniques. This study presents an Intelligent Customer Feedback Analysis System utilizing Natural Language Processing (NLP) techniques like Vader Sentiment Analysis, LDA topic modelling, and TF-IDF for sentiment classification, trend analysis, topic detection, and keyword extraction. This system utilized a Streamlit interactive application, visualization tools such as word clouds, sentiment distribution, rating trends, and filters for sentiment analysis. The implemented system is very much real-time and assists data-driven sentiments understanding in brand decision-making, which is the power of customer perspectives and proactive engagement.

Paper Citation

in Harvard Style

Rane O. and Naik D. (2025). Intelligent Customer Feedback Analysis System Using NLP Techniques. In Proceedings of the 3rd International Conference on Futuristic Technology - Volume 1: INCOFT; ISBN 978-989-758-763-4, SciTePress, pages 707-714. DOI: 10.5220/0013584100004664

in Bibtex Style

@conference{incoft25,
author={Omkar Rane and Deepali Naik},
title={Intelligent Customer Feedback Analysis System Using NLP Techniques},
booktitle={Proceedings of the 3rd International Conference on Futuristic Technology - Volume 1: INCOFT},
year={2025},
pages={707-714},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013584100004664},
isbn={978-989-758-763-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 3rd International Conference on Futuristic Technology - Volume 1: INCOFT
TI - Intelligent Customer Feedback Analysis System Using NLP Techniques
SN - 978-989-758-763-4
AU - Rane O.
AU - Naik D.
PY - 2025
SP - 707
EP - 714
DO - 10.5220/0013584100004664
PB - SciTePress