vishwassathish/Sentiment-Analysis-for-product-reviews
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.
This project helps e-commerce managers, product marketers, and business owners understand customer opinions from their product reviews. It takes raw Amazon product review text as input and analyzes the sentiment (positive, negative, or neutral) expressed in each review, providing insights into customer satisfaction and product perception. This allows you to quickly gauge public opinion without manually reading through thousands of comments.
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Use this if you need to automate the process of understanding customer sentiment from a large collection of product reviews to inform marketing strategies or product development.
Not ideal if you require a sentiment analysis model for highly specialized text, such as legal documents or scientific papers, as it's specifically tuned for product review language.
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Language
Python
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Last pushed
Jan 14, 2018
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