Natural Language Processing for the next decade. Tokenization, Part-of-Speech Tagging, Named Entity Recognition, Syntactic & Semantic Dependency Parsing, Document Classification

💫 Industrial-strength Natural Language Processing (NLP) in Python

大规模中文自然语言处理语料 Large Scale Chinese Corpus for NLP

all kinds of text classification models and more with deep learning

Natural Language Processing Best Practices & Examples

搜索所有中文NLP数据集，附常用英文NLP数据集

CNN-RNN中文文本分类，基于TensorFlow

Transformers for Information Retrieval, Text Classification, NER, QA, Language Modelling, Language Generation, T5, Multi-Modal, and Conversational AI

Snips Python library to extract meaning from text

State of the Art Natural Language Processing

Accelerated deep learning R&D

fastNLP: A Modularized and Extensible NLP Framework. Currently still in incubation.

Kashgari is a production-level NLP Transfer learning framework built on top of tf.keras for text-labeling and text-classification, includes Word2Vec, BERT, and GPT2 Language Embedding.

⭐️ NLP Algorithms with transformers lib. Supporting Text-Classification, Text-Generation, Information-Extraction, Text-Matching, RLHF, SFT etc.

The Python Code Tutorials

EasyNLP: A Comprehensive and Easy-to-use NLP Toolkit

MTEB: Massive Text Embedding Benchmark

[ACL 2023] One Embedder, Any Task: Instruction-Finetuned Text Embeddings

Text Classification Algorithms: A Survey

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