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

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

DomainWordsDict, Chinese words dict that contains more than 68 domains, which can be used as text classification、knowledge enhance task。涵盖68个领域、共计916万词的专业词典知识库，可用于文本分类、知识增强、领域词汇库扩充等自然语言处理应用。

TextCNN Pytorch实现 中文文本分类 情感分析

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！

No description available

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.

Baseline methods for [CTW dataset](https://ctwdataset.github.io/)

Chinese-Text-Classification，Tensorflow CNN（卷积神经网络）实现的中文文本分类。QQ群：522785813，微信群二维码：http://www.tensorflownews.com/

Multi-language Analyze text in 26 Cantonal Swiss German, Italian, German, Chinese (simplified), French, Italian. pply natural language understanding (NLU) to their applications with features including sentiment analysis, entity analysis, entity sentiment analysis, content classification, and syntax analysis.

CNN for Chinese Text Classification in Tensorflow

Pytorch Bert Finetune in Chinese Text Classification

A text analyzer which is based on machine learning,statistics and dictionaries that can analyze text. So far, it supports hot word extracting, text classification, part of speech tagging, named entity recognition, chinese word segment, extracting address, synonym, text clustering, word2vec model, edit distance, chinese word segment, sentence similarity,word sentiment tendency, name recognition, idiom recognition, placename recognition, organization recognition, traditional chinese recognition, pinyin transform.

OpenTextClassification is all you need for text classification! Open text classification for everyone, enjoy your NLP journey! 这可能是目前为止最全面的开源文本分类项目，支持中英双语、多种模型、多种任务。

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

Which Encoding is the Best for Text Classification in Chinese, English, Japanese and Korean?

Chinese-Text-Classification Project including bert-classification, textCNN and so on.

bert for chinese text classification

CNN, LSTM, NBOW, fasttext 中文文本分类

No description available

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

基于pytorch+bert的中文文本分类

CNN and RNN with Attention for Chinese Text Classification in Tensorflow

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

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

基于Pytorch实现的一些经典自然语言处理模型中文短文本分类任务，包含TextCNN，TextRCNN，FastText，BERT，ROBERT以及ERNIE

中文：方便好用的文本分类模型训练加推理全公开！欢迎star后礼貌获取！大体上本项目采用ERINE3.0的base版本将文本转换为语义向量而后做特征进行分类，实测上限极高可以优化后在61分类任务中达到92%准确率。

中文文本分类(目前是二分类)

XGBoost on Spark for Chinese Text Classification