scofield7419/UABSA-SyMux
Codes for the IJCAI2022 paper: Inheriting the Wisdom of Predecessors: A Multiplex Cascade Framework for Unified Aspect-based Sentiment Analysis
This project helps market researchers or product managers analyze customer reviews, social media posts, or survey responses to understand specific aspects of products or services and the sentiments expressed towards them. It takes raw text data and extracts key product features, associated opinions, and the sentiment (positive, negative, neutral) towards those features. The output helps identify what customers like or dislike about particular product attributes.
No commits in the last 6 months.
Use this if you need to comprehensively analyze customer feedback to pinpoint sentiment towards specific product features, services, or topics, rather than just overall sentiment.
Not ideal if you only need a general sentiment score for entire documents or if your data is not text-based.
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Python
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Last pushed
Jun 15, 2023
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