Shun-Fujita / awesome-text-classification

Text classification meets word embeddings.

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A curated list of awesome text classification models tutorials, projects and communities. Please feel free to pull requests to add links.

Table of Contents

Papers and Implementations

  • Baselines and Bigrams: Simple, Good Sentiment and Topic Classification (2012), Wang, Sida, and Christopher D. Manning.[pdf]
  • A Convolutional Neural Network for Modelling Sentences (2014), Kalchbrenner, Nal, Edward Grefenstette, and Phil Blunsom.[pdf]
  • Character-level Convolutional Networks for Text Classification (2015), Zhang, Xiang, Junbo Zhao, and Yann LeCun.[pdf]
  • Very Deep Convolutional Networks for Text Classification (2017), Conneau, Alexis, et al.[pdf]
  • Skip-thought vectors (2015), Kiros, Ryan, et al.[pdf]
  • Text Understanding from Scratch (2015), Zhang, Xiang, and Yann LeCun.[pdf]
  • Bag of Tricks for Efficient Text Classification (2016), Joulin, Armand, et al.[pdf]
  • FastText.zip: Compressing Text Classification Models (2017), Joulin, Armand, et al.[pdf]

Datasets

Articles

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Text classification meets word embeddings.

License:MIT License


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Language:Python 100.0%