中文文本分类，TextCNN，TextRNN，FastText，TextRCNN，BiLSTM_Attention，DPCNN，Transformer，基于pytorch，开箱即用。

使用Bert，ERNIE，进行中文文本分类

CNNs for Sentence Classification in PyTorch

This repo contains a PyTorch implementation of a pretrained BERT model for multi-label text classification.

Text classification using deep learning models in Pytorch

A Benchmark of Text Classification in PyTorch

Implementation of State-of-the-art Text Classification Models in Pytorch

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！

中文文本分类、序列标注工具包（pytorch），支持中文长文本、短文本的多类、多标签分类任务，支持中文命名实体识别、词性标注、分词、抽取式文本摘要等序列标注任务。 Chinese text classification and sequence labeling toolkit, supports multi class and multi label classification, text similsrity, text summary and NER.

Based on the Pytorch-Transformers library by HuggingFace. To be used as a starting point for employing Transformer models in text classification tasks. Contains code to easily train BERT, XLNet, RoBERTa, and XLM models for text classification.

PyTorch implementation of "Graph Convolutional Networks for Text Classification. Yao et al. AAAI2019."

Hierarchical Attention Networks | a PyTorch Tutorial to Text Classification

Knowledge distillation in text classification with pytorch. 知识蒸馏，中文文本分类，教师模型BERT、XLNET，学生模型biLSTM。

Pytorch Bert Finetune in Chinese Text Classification

基于PyTorch的BERT中文文本分类模型（BERT Chinese text classification model implemented by PyTorch）

Character-level Convolutional Neural Networks for text classification in PyTorch

Word Embedding + LSTM + FC

PyTorch implementation of some text classification models (HAN, fastText, BiLSTM-Attention, TextCNN, Transformer) | 文本分类

Text classification based on LSTM on R8 dataset for pytorch implementation

Pytorch implementation of "Graph Convolutional Networks for Text Classification"

A PyTorch implementation of "Graph Convolutional Networks for Text Classification." (AAAI 2019)

Comparatively fine-tuning pretrained BERT models on downstream, text classification tasks with different architectural configurations in PyTorch.

The PyTorch 1.6 and Python 3.7 implementation for the paper Graph Convolutional Networks for Text Classification

This repo contains a PyTorch implementation of a pretrained BERT model for text classification.

基于pytorch + bert的多标签文本分类（multi label text classification）

基于pytorch+bert的中文文本分类

文本分类， 双向lstm + attention 算法

A text classification example with Bert/ELMo/GloVe in pytorch

A pytorch implementation of CapsNet for text classification 汽车行业用户观点主题及情感识别为例(subject-and-sentiment-analysis)

pytorch implementation of multi-label text classification, includes kinds of models and pretrained. Especially for Chinese preprocessing.