Amazon-Reviews-Sentiment-Analysis and Amazon-Sentiment-Analysis

Maintenance 0/25
Adoption 5/25
Maturity 16/25
Community 15/25
Maintenance 0/25
Adoption 4/25
Maturity 8/25
Community 14/25
Stars: 10
Forks: 5
Downloads:
Commits (30d): 0
Language: Python
License: MIT
Stars: 8
Forks: 3
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-Sentiment-Analysis

siddh30/Amazon-Sentiment-Analysis

A Natural Language Processing based project - Sentiment Analysis of Amazon Product Reviews in Python

This project helps e-commerce managers, product analysts, or market researchers understand customer sentiment from Amazon product reviews. It processes millions of book reviews to categorize them as 'Positive', 'Neutral', or 'Negative', and also predicts star ratings. You can feed in raw Amazon review data and get clear sentiment labels and predicted ratings for each review.

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

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