Text Classification
alibaba/EasyNLP
EasyNLP: A Comprehensive and Easy-to-use NLP Toolkit
🧠 Natural Language Processing
PythonApache-2.0updated Nov 27, 2024
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。
$ git clone https://github.com/shibing624/pytextclassifier.gitEasyNLP: A Comprehensive and Easy-to-use NLP Toolkit
Active Learning for Text Classification in Python
Happy Transformer makes it easy to fine-tune and perform inference with NLP Transformer models.
This is the corresponding code for the book Transformers in Action
BERT classification model for processing texts longer than 512 tokens. Text is first divided into smaller chunks and after feeding them to BERT, intermediate results are pooled. The implementation allows fine-tuning.
用MLP、TextCNN、RNN、LSTM、GRU、Attention、RCNN、BERT做文本分类、情感分析,对比各模型于温泉旅游评论垂类语料下在情感分类任务上的表现
Data from GitHub · snapshot Sep 24, 2026