Job-Title-Prediction-from-Tweets-Using-Word-Embedding-and-Deep-Neural-Networks

中文分词 词性标注 命名实体识别 依存句法分析 成分句法分析 语义依存分析 语义角色标注 指代消解 风格转换 语义相似度 新词发现 关键词短语提取 自动摘要 文本分类聚类 拼音简繁转换 自然语言处理

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

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

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.

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

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