AI Product Review Sentiment Analyzer Using NLP and Flask

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AI Product Review Sentiment Analyzer Using NLP and Flask

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Published 24 April 2026

Updated 24 April 2026

AI Product Review Sentiment Analyzer Using NLP and Flask

Authors:

Karan Vankar

Department of Computer Science & Engineering

Parul Institute of Technology, Faculty of Engineering & Technology Parul University, Vadodara, Gujarat, India

Enrolment No: 2303051057024

Abstract — With the rapid growth of online shopping, customers often find it difficult to read and understand large numbers of product reviews. This project presents an AI-Based Product Review Sentiment Analyzer, a web application developed using HTML, CSS, JavaScript, and Python Flask.

The system uses a pretrained NLP model (HuggingFace Transformers) to analyze product reviews and classify them as positive or negative . Based on this analysis, it calculates a trust score and displays results using a simple and interactive interface.

This project helps users quickly understand product quality and make better buying decisions using AI.

Keywords — Sentiment Analysis, Natural Language Processing, HuggingFace Transformers, Flask, Product Reviews, AI-Based System, Web Application, Trust Score, Data Visualization, RESTful API.