chakki-works/chABSA-dataset
chakki's Aspect-Based Sentiment Analysis dataset
This dataset provides human-annotated sentiment analysis for Japanese company annual reports, specifically focusing on the 'overview of business results' section. It takes raw text from these reports and identifies specific entities (like 'company' or 'market') and their attributes (like 'sales' or 'profit'), assigning a positive, negative, or neutral sentiment to each. Financial analysts, investors, and market researchers who need to quickly gauge sentiment from Japanese corporate disclosures would find this useful.
140 stars. No commits in the last 6 months.
Use this if you need pre-labeled data to train or evaluate models for analyzing sentiment in Japanese financial reports, breaking down opinions by specific business aspects.
Not ideal if you are looking for a tool that performs sentiment analysis directly or if your primary interest is in English-language financial documents.
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Jupyter Notebook
License
MIT
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Last pushed
Feb 25, 2022
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