jiangqn/Aspect-Based-Sentiment-Analysis
A paper list for aspect based sentiment analysis.
This is a curated list of research papers and datasets focused on 'Aspect-Based Sentiment Analysis'. It helps researchers and data scientists understand and implement methods to automatically identify specific aspects of a product or service within text (like a 'screen' on a 'phone') and determine the sentiment expressed towards that aspect (e.g., 'the screen is bright'). It provides the foundational resources for building systems that can process raw text data, like customer reviews or social media posts, and output detailed sentiment insights tied to particular features.
456 stars. No commits in the last 6 months.
Use this if you are a researcher, data scientist, or practitioner looking for academic resources, benchmarks, and datasets to develop or evaluate sophisticated sentiment analysis models that can pinpoint sentiment towards specific features or topics within text.
Not ideal if you need an out-of-the-box software tool for general sentiment analysis, a quick introduction to natural language processing, or a guide for non-technical business users.
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Mar 27, 2024
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