Amazon-Reviews-Sentiment-Analysis and Amazon-food-review-Sentiment-Analysis

Maintenance 0/25
Adoption 5/25
Maturity 16/25
Community 15/25
Maintenance 0/25
Adoption 2/25
Maturity 8/25
Community 15/25
Stars: 10
Forks: 5
Downloads:
Commits (30d): 0
Language: Python
License: MIT
Stars: 2
Forks: 4
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 Amazon-food-review-Sentiment-Analysis

Sharandip/Amazon-food-review-Sentiment-Analysis

Predict the sentiments of Amazon online consumer reviews.

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