Product Rating through Sentimental Analysis
$ 45.5
Author:
Adharsh Reddy Yesugari
Pages:47
Published:
2026-11-11
ISBN:978-66-850-0257-7
Category:
New Release
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Description
Product Rating Through Sentiment Analysis
In today's digital world, online customer reviews play a crucial role in purchasing decisions. However, analyzing thousands of reviews manually can be time-consuming and challenging. This project, Product Rating Through Sentiment Analysis, explores an intelligent approach to understanding customer opinions and generating meaningful product ratings.
The system uses Natural Language Processing (NLP), Machine Learning, and sentiment analysis techniques to evaluate customer reviews and classify them into positive, negative, and neutral sentiments. It incorporates text preprocessing, feature extraction, and classification algorithms to identify customer opinions and understand product performance.
By transforming unstructured customer feedback into meaningful sentiment scores and product insights, this approach helps consumers make informed purchasing decisions while enabling businesses to identify product strengths, weaknesses, and areas for improvement.
This work highlights the potential of artificial intelligence and data-driven analysis in improving customer experiences and supporting smarter decisions in the e-commerce industry.