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A library for multi-class and multi-label text classification

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LibMultiLabel — a Library for Multi-class and Multi-label Text Classification

LibMultiLabel is a library for binary, multi-class, and multi-label classification. It has the following functionalities

  • end-to-end services from raw texts to final evaluation/analysis
  • support for common neural network architectures and linear classifiers
  • easy hyper-parameter selection

This is an on-going development so many improvements are still being made. Comments are very welcome.

Environments

  • Python: 3.8+
  • CUDA: 11.6 (if training neural networks by GPU)
  • Pytorch 1.13.1

If you have a different version of CUDA, follow the installation instructions for PyTorch LTS at their website.

Documentation

See the documentation here: https://www.csie.ntu.edu.tw/~cjlin/libmultilabel

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A library for multi-class and multi-label text classification

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