Library for fast text representation and classification.

Topic Modelling for Humans

all kinds of text classification models and more with deep learning

中文文本分类，TextCNN，TextRNN，FastText，TextRCNN，BiLSTM_Attention，DPCNN，Transformer，基于pytorch，开箱即用。

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.

Multilingual word vectors in 78 languages

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）

Word2vec, Fasttext, Glove, Elmo, Bert, Flair pre-train Word Embedding

Compute Sentence Embeddings Fast!

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

The best rich editor (TextView) on IOS platform ,maybe be the fastest

pytextclassifier is a toolkit for text classification. 文本分类，LR，Xgboost，TextCNN，FastText，TextRNN，BERT等分类模型实现，开箱即用。

使用rnn,lstm,gru,fasttext,textcnn,dpcnn,rnn-att,lstm-att,兼容huggleface/transformers，以及以transforemrs作为词嵌入模型，后面接入cnn、rnn、attention等等做文本分类。以及各个模型的对比

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

中文文本摘要/关键词提取

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！

Macadam是一个以Tensorflow(Keras)和bert4keras为基础，专注于文本分类、序列标注和关系抽取的自然语言处理工具包。支持RANDOM、WORD2VEC、FASTTEXT、BERT、ALBERT、ROBERTA、NEZHA、XLNET、ELECTRA、GPT-2等EMBEDDING嵌入; 支持FineTune、FastText、TextCNN、CharCNN、BiRNN、RCNN、DCNN、CRNN、DeepMoji、SelfAttention、HAN、Capsule等文本分类算法; 支持CRF、Bi-LSTM-CRF、CNN-LSTM、DGCNN、Bi-LSTM-LAN、Lattice-LSTM-Batch、MRC等序列标注算法。

⚡️ 80x faster Fasttext language detection out of the box | Split text by language

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

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

State-of-the-art, lightweight NLP tools for Turkish language. Developed by VNGRS.

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