Topic Modelling for Humans

all kinds of text classification models and more with deep learning

Tutorials on getting started with PyTorch and TorchText for sentiment analysis.

兜哥出品 <一本开源的NLP入门书籍>

Pre-trained word vectors of 30+ languages

中文长文本分类、短句子分类、多标签分类、两句子相似度（Chinese Text Classification of Keras NLP, multi-label classify, or sentence classify, long or short），字词句向量嵌入层（embeddings）和网络层（graph）构建基类，FastText，TextCNN，CharCNN，TextRNN, RCNN, DCNN, DPCNN, VDCNN, CRNN, Bert, Xlnet, Albert, Attention, DeepMoji, HAN, 胶囊网络-CapsuleNet, Transformer-encode, Seq2seq, SWEM, LEAM, TextGCN

A fast, efficient universal vector embedding utility package.

1st Place Solution for Zhihu Machine Learning Challenge . Implementation of various text-classification models.(知乎看山杯第一名解决方案)

Pre-training of Deep Bidirectional Transformers for Language Understanding: pre-train TextCNN

Text classification models implemented in Keras, including: FastText, TextCNN, TextRNN, TextBiRNN, TextAttBiRNN, HAN, RCNN, RCNNVariant, etc.

一个生产级、高性能、模块化、可扩展的中文NLP工具包。（中文分词、平均感知机、fastText、拼音、新词发现、分词纠错、BM25、人名识别、命名实体、自定义词典）

Compute Sentence Embeddings Fast!

BioWordVec & BioSentVec: pre-trained embeddings for biomedical words and sentences

Implementation of State-of-the-art Text Classification Models in Pytorch

Fast word vectors with little memory usage in Python

中文文本分类任务，基于PyTorch实现（TextCNN，TextRNN，FastText，TextRCNN，BiLSTM_Attention, DPCNN, Transformer，Bert，ERNIE），开箱即用！

🌸 fastText + Bloom embeddings for compact, full-coverage vectors with spaCy

Simple embedding based text classifier inspired by fastText, implemented in tensorflow

all kinds of baseline models for long text classificaiton( text categorization)

cw2vec: Learning Chinese Word Embeddings with Stroke n-gram Information