Idea is to develop an approach that given a sample will identify the sub themes along with their respective sentiments.
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Updated
Oct 29, 2020 - Python
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subtheme-sentiments
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This project takes customer reviews and automatically detects multiple subthemes (like service, price, or booking experience) along with their sentiments (positive or negative). It uses BERT and fine-tunes it to handle multi-label classification. meaning one review can have several opinions at once!
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Updated
Jun 24, 2025 - Jupyter Notebook
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