EmreTaha/Unsupervised-Domain-Adaptation-with-BERT
Unsupervised domain adaptation with BERT for Amazon food product reviews sentiment analysis.
This project helps businesses and researchers analyze customer sentiment for products, especially when dealing with reviews from different product categories. It takes raw text reviews from one product domain (like electronics) and adapts an existing sentiment analysis model to accurately understand sentiment in a different domain (like food products) without needing new labeled data. This is useful for product managers, market researchers, or data analysts who need to quickly gauge public opinion across various product lines.
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Use this if you have an existing sentiment analysis model trained on product reviews from one category, and you need to apply it to reviews from a different product category without manually labeling new data.
Not ideal if you are starting a sentiment analysis project from scratch with plenty of labeled data in your target domain, or if you need to analyze sentiment for non-product review text.
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GPL-3.0
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Last pushed
Oct 06, 2020
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