Natural Language Processing for the next decade. Tokenization, Part-of-Speech Tagging, Named Entity Recognition, Syntactic & Semantic Dependency Parsing, Document Classification
-
Updated
Dec 18, 2024 - Python
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.
The Python Code Tutorials
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.
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
Add a description, image, and links to the text-classification topic page so that developers can more easily learn about it.
To associate your repository with the text-classification topic, visit your repo's landing page and select "manage topics."