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

Visualize word embeddings of a vocabulary in TensorBoard, including the neighbors

A fast, efficient universal vector embedding utility package.

all kinds of text classification models and more with deep learning

Data augmentation for NLP, presented at EMNLP 2019

FastText for Node.js

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.

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

Chinese Question Classifier (Keras Implementation) on BQuLD

Machine learning based text classification in JavaScript using n-grams and cosine similarity

All kinds of neural text classifiers implemented by Keras

A Python interface for Facebook fastText

Repo for Applied Text Mining in Python (coursera) by University of Michigan

finalfusion embeddings in Rust

Ipython Notebooks for solving problems like classification, segmentation, generation using latest Deep learning algorithms on different publicly available text and image data-sets.

Code and data for the paper 'Classifying Graphs as Images with Convolutional Neural Networks' (new title: 'Graph Classification with 2D Convolutional Neural Networks')

Deep-Atrous-CNN-Text-Network: End-to-end word level model for sentiment analysis and other text classifications

Telegram Data Clustering contest solution by Mindful Squirrel

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.

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