plkmo/Bible_Text_GCN
Pytorch implementation of "Graph Convolutional Networks for Text Classification"
[ACL 2020] Tensorflow implementation for "Every Document Owns Its Structure: Inductive Text Classification via Graph Neural Networks"
$ git clone https://github.com/CRIPAC-DIG/TextING.gitPytorch implementation of "Graph Convolutional Networks for Text Classification"
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fastNLP: A Modularized and Extensible NLP Framework. Currently still in incubation.
A list of NLP(Natural Language Processing) tutorials
Starter code to solve real world text data problems. Includes: Gensim Word2Vec, phrase embeddings, Text Classification with Logistic Regression, word count with pyspark, simple text preprocessing, pre-trained embeddings and more.
A tool for learning vector representations of words and entities from Wikipedia
Data from GitHub ¡ snapshot Sep 24, 2026