all kinds of text classification models and more with deep learning

Pre-trained word vectors of 30+ languages

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

A fast, efficient universal vector embedding utility package.

A Python interface for Facebook fastText

兜哥出品 <一本开源的NLP入门书籍>

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

NLP 相关的一些文档、论文及代码, 包括主题模型(Topic Model)、词向量(Word Embedding)、命名实体识别(Named Entity Recognition)、文本分类(Text Classificatin)、文本生成(Text Generation)、文本相似性(Text Similarity)计算、机器翻译(Machine Translation)等，涉及到各种与nlp相关的算法，基于keras和tensorflow。

一个高性能、模块化、可扩展的中文NLP工具包（中文分词 词性标注 命名实体识别 新词发现 文本分类 拼音简繁转换）

Fast word vectors with little memory usage in Python

基于金融-司法领域(兼有闲聊性质)的聊天机器人，其中的主要模块有信息抽取、NLU、NLG、知识图谱等，并且利用Django整合了前端展示,目前已经封装了nlp和kg的restful接口

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

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, ENT, DMN,

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

Yet another Python binding for fastText

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

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

A collection of supervised learning models based on shallow neural network approaches (e.g., word2vec and fastText) with some additional exclusive features. Written in Python and fully compatible with Scikit-learn.

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

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

Using pre trained word embeddings (Fasttext, Word2Vec)

Sentence Classifications with Neural Networks

Lightning Fast Language Prediction 🚀

Compute Sentence Embeddings Fast!

Library for fast text representation and extreme classification.

R wrapper for fastText

Windows Build of fastText, library for text representation and classification.