AFAgarap/ecommerce-reviews-analysis
Statistical Analysis on E-Commerce Reviews, with Sentiment Classification using Bidirectional Recurrent Neural Network (RNN)
This project helps e-commerce managers and marketing strategists understand customer feedback by analyzing product reviews. It takes raw customer review text and associated data, then provides insights into overall sentiment (positive, negative, neutral) and whether customers recommend the product. You would use this to gauge customer perception and identify areas for product or service improvement.
No commits in the last 6 months.
Use this if you need to quickly categorize large volumes of e-commerce customer reviews by sentiment and recommendation to inform marketing or product development.
Not ideal if you need to analyze customer reviews for highly nuanced or domain-specific insights beyond general sentiment and recommendation.
Stars
23
Forks
13
Language
Jupyter Notebook
License
Apache-2.0
Category
Last pushed
May 11, 2018
Commits (30d)
0
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