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ramesh636450/Amazon-Review-Sentiment-Analysis-Python: Python-based sentiment analysis on Amazon product reviews to classify positive, negative, and neutral feedback and identify product performance trends using NLP. · GitHub

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Amazon Review Sentiment Analysis — Python

Overview

Sentiment analysis on Amazon product reviews to classify customer feedback and identify product performance trends using NLP techniques.

Problem Statement

E-commerce teams need to quickly understand customer sentiment at scale without reading thousands of reviews manually.

Tools Used

  • Python (Pandas, Matplotlib, Seaborn, NLP libraries)
  • Jupyter Notebook

Key Findings

  • Classified reviews into positive, negative, and neutral categories
  • Identified top complaint themes and praise patterns
  • Analyzed sentiment trends across product categories

How to Run

pip install pandas matplotlib seaborn nltk jupyter notebook Amazon_Sentiment_Analysis.ipynb

About

Python-based sentiment analysis on Amazon product reviews to classify positive, negative, and neutral feedback and identify product performance trends using NLP.

Topics

amazondata-analyticsedanlppandaspythonsentiment-analysistext-analysis

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