Alibaba-NLP/HiAGM
Hierarchy-Aware Global Model for Hierarchical Text Classification
This tool helps organize and categorize large collections of text documents, like news articles or research papers, into a pre-defined hierarchical structure. You feed it raw text documents and it outputs the documents tagged with the appropriate categories, understanding the relationships between broader and narrower topics. It's ideal for anyone managing vast amounts of textual information that needs to be precisely categorized into a multi-level system.
226 stars. No commits in the last 6 months.
Use this if you need to automatically classify text documents into a topic hierarchy, where categories are nested (e.g., 'Science' > 'Biology' > 'Genetics').
Not ideal if your classification needs are simple, with flat, non-hierarchical categories, or if you only have a small number of documents to categorize manually.
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226
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43
Language
Python
License
MIT
Category
Last pushed
Nov 28, 2022
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