BinLiang-NLP/AAGCN-ACSA
[EMNLP 2021] Beta Distribution Guided Aspect-aware Graph for Aspect Category Sentiment Analysis with Affective Knowledge
This project helps sentiment analysis researchers or data scientists to automatically determine the sentiment (positive, negative, neutral) towards specific categories or aspects mentioned in text. It takes raw text reviews or comments as input and outputs the sentiment score for each identified aspect category. This is useful for anyone analyzing opinions about different features of products, services, or topics.
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Use this if you need to precisely understand public opinion towards specific aspects within a larger text, such as determining customer sentiment for a 'battery life' vs. 'camera quality' of a phone.
Not ideal if you only need a general sentiment for an entire document or sentence, without breaking it down by specific categories.
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Python
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Last pushed
Apr 28, 2022
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