t-shah02/amazon-reviews-nlp-sentiment-analysis
A data science project that utilizes ETL, EDA and ML to analyze sentiments on various Amazon product reviews from different categories.
This project helps businesses and marketers understand public opinion by analyzing Amazon product reviews. It takes raw Amazon review text as input and categorizes each review as positive, negative, or neutral. The output provides a clear sentiment breakdown across different product categories, ideal for anyone looking to gauge customer satisfaction or identify product strengths and weaknesses.
No commits in the last 6 months.
Use this if you need to quickly assess the emotional tone and customer sentiment from a large volume of Amazon product reviews.
Not ideal if you need a sophisticated, real-time sentiment analysis solution or wish to analyze data from sources other than Amazon reviews.
Stars
12
Forks
3
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Dec 23, 2023
Commits (30d)
0
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