OctoberChang/X-Transformer
X-Transformer: Taming Pretrained Transformers for eXtreme Multi-label Text Classification
This project helps you automatically assign multiple categories or tags to text documents, even when you have thousands or hundreds of thousands of possible categories. You provide your existing text documents and their current category assignments, and the system learns to predict the most relevant categories for new, unseen documents. This is ideal for knowledge managers, content strategists, or anyone dealing with large volumes of text that needs precise, multi-label categorization.
142 stars. No commits in the last 6 months.
Use this if you need to classify text documents into a very large number of potential categories, where each document can belong to multiple categories simultaneously.
Not ideal if you only have a small number of categories to assign, or if your documents only ever belong to a single category.
Stars
142
Forks
30
Language
C++
License
BSD-3-Clause
Category
Last pushed
Apr 27, 2021
Commits (30d)
0
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