Sentiment Analysis using LSTM cells on Recurrent Networks. GloVe word embeddings were used for vector representation of words. Amazon Product Reviews were used as Dataset.
- Updated
Jan 14, 2018 - Python
Sentiment Analysis using LSTM cells on Recurrent Networks. GloVe word embeddings were used for vector representation of words. Amazon Product Reviews were used as Dataset.
🛍️📊 Effortlessly extract Amazon reviews using Python with the amazon-reviews-extraction script. This script makes use of popular Python modules like requests, pandas, bs4, and lxml to scrape and parse HTML content from Amazon product review pages. Simplify your data extraction process and gain valuable insights from customer reviews. 🐍🔍
The ICDE-BuyAdvisor website is a user-friendly solution to help the buyers decide whether to buy products by evaluating the product reviews for them using web scraping and machine learning techniques. Once the evaluation is completed, the product analysis is shared with the buyer.
Text mining on Amazon review to perform sentiment analysis
Data analysis project that contains Excel Dashboard analysis of an E-commerce product dataset (Amazon) which involves the Product rating, discount, discount percentage, reviews, etc.
amazon product rating classification in python and keras
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