Amazon-Reviews-Sentiment-Analysis and AmazonReviewAnalysis_NLP

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Maturity 16/25
Community 15/25
Maintenance 0/25
Adoption 3/25
Maturity 8/25
Community 13/25
Stars: 10
Forks: 5
Downloads:
Commits (30d): 0
Language: Python
License: MIT
Stars: 3
Forks: 2
Downloads:
Commits (30d): 0
Language: Jupyter Notebook
License:
Stale 6m No Package No Dependents
No License Stale 6m No Package No Dependents

About Amazon-Reviews-Sentiment-Analysis

amri-tah/Amazon-Reviews-Sentiment-Analysis

This project focuses on sentiment analysis of Amazon product reviews using machine learning and natural language processing techniques. 💬🔍📈

This tool helps businesses understand customer opinions by analyzing Amazon product reviews. You input product reviews, either individually, from a CSV file, or by providing an Amazon product URL. The output is a sentiment analysis indicating whether reviews are positive, negative, or neutral, which is useful for product managers, marketers, and customer service teams.

customer-feedback product-management market-research brand-reputation e-commerce-analytics

About AmazonReviewAnalysis_NLP

nayan-pradhan/AmazonReviewAnalysis_NLP

This project uses Machine Learning, Natural Language Processing (NLP), and Web Scraping in order to get real customer reviews for any product on Amazon and perform sentiment analysis that predicts whether the reviews are positive or negative.

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