PyTorch implementation of some text classification models (HAN, fastText, BiLSTM-Attention, TextCNN, Transformer) | 文本分类
$ git clone https://github.com/Renovamen/Text-Classification.gitText classification models implemented in Keras, including: FastText, TextCNN, TextRNN, TextBiRNN, TextAttBiRNN, HAN, RCNN, RCNNVariant, etc.
Hierarchical Attention Networks for document classification
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
[2017知乎看山杯 多标签 文本分类] ye组(第六名) 解题方案
Pre-training of Deep Bidirectional Transformers for Language Understanding: pre-train TextCNN
中文文本分类任务，基于PyTorch实现（TextCNN，TextRNN，FastText，TextRCNN，BiLSTM_Attention, DPCNN, Transformer，Bert，ERNIE），开箱即用！
Data from GitHub · snapshot Sep 24, 2026