all kinds of text classification models and more with deep learning

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

Pre-trained word vectors of 30+ languages

A fast, efficient universal vector embedding utility package.

兜哥出品 <一本开源的NLP入门书籍>

Documents, papers and codes related to Natural Language Processing, including Topic Model, Word Embedding, Named Entity Recognition, Text Classificatin, Text Generation, Text Similarity, Machine Translation)，etc. All codes are implemented intensorflow 2.0.

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

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

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

一个高性能、模块化、可扩展的中文NLP工具包 https://mynlp.mayabot.com/

Fast word vectors with little memory usage in Python

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

Compute Sentence Embeddings Fast!

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

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

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

Yet another Python binding for fastText

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

An experiment about re-implementing supervised learning models based on shallow neural network approaches (e.g. fastText) with some additional exclusive features and nice API. Written in Python and fully compatible with Scikit-learn.

Sentence Classifications with Neural Networks

Implementing Facebook's FastText with java

Using pre trained word embeddings (Fasttext, Word2Vec)

One-Stop Solution to encode sentence to fixed length vectors from various embedding techniques

Neural models for Text Classification in Tensorflow, such as cnn, dpcnn, fasttext, bert ...

Library for fast text representation and extreme classification.

NLP research：基于tensorflow的nlp深度学习项目，支持文本分类/句子匹配/序列标注/文本生成 四大任务

Lightning Fast Language Prediction 🚀