yuzhimanhua/MotifClass
MotifClass: Weakly Supervised Text Classification with Higher-order Metadata Information (WSDM'22)
This tool helps researchers and content analysts automatically categorize large collections of documents, even when only a few examples of each category are available. It takes in document text along with associated metadata like authors, venues, or product information, and outputs a classification for each document. This is ideal for academics managing research papers or businesses categorizing product reviews.
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Use this if you need to classify documents into categories, but have limited pre-labeled examples and rich metadata associated with your documents.
Not ideal if your documents lack rich metadata or if you have a large dataset of already hand-labeled examples for training.
Stars
13
Forks
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Language
Python
License
Apache-2.0
Category
Last pushed
Apr 02, 2024
Commits (30d)
0
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