Nix07/Utilizing-BERT-for-Aspect-Based-Sentiment-Analysis
Targeted Aspect-based Sentiment Analysis on SentiHood Dataset (PyTorch)
This project helps businesses and researchers analyze public opinion by pinpointing specific features or topics in text (like a product's 'battery life' or a restaurant's 'service') and determining the sentiment towards them. You provide raw text data, and it outputs a detailed breakdown of what people like or dislike about different aspects. It's useful for market analysts, product managers, and customer feedback specialists who need granular insights from reviews, social media, or surveys.
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Use this if you need to understand not just the overall sentiment of a text, but the sentiment expressed towards particular entities or attributes within that text.
Not ideal if you only need a general positive/negative/neutral sentiment score for entire documents without needing to break it down by specific aspects.
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Aug 04, 2020
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