kk7nc/HDLTex
HDLTex: Hierarchical Deep Learning for Text Classification
This project helps classify large collections of documents into a hierarchy of categories, rather than a single flat list. You provide a dataset of documents with their associated hierarchical categories, and it outputs a model that can automatically sort new, unclassified documents into the correct nested categories. This is useful for researchers, librarians, or information managers dealing with extensive text archives.
278 stars. No commits in the last 6 months. Available on PyPI.
Use this if you need to automatically organize very large document collections into a complex, multi-level categorical structure where standard classification methods struggle.
Not ideal if your documents only need to be sorted into a small number of flat, non-hierarchical categories.
Stars
278
Forks
66
Language
Python
License
MIT
Category
Last pushed
Oct 10, 2024
Commits (30d)
0
Dependencies
8
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