all kinds of text classification models and more with deep learning

1st Place Solution for Zhihu Machine Learning Challenge . Implementation of various text-classification models.(知乎看山杯第一名解决方案)

Text classification models implemented in Keras, including: FastText, TextCNN, TextRNN, TextBiRNN, TextAttBiRNN, HAN, RCNN, RCNNVariant, etc.

TextClf ：基于Pytorch/Sklearn的文本分类框架，包括逻辑回归、SVM、TextCNN、TextRNN、TextRCNN、DRNN、DPCNN、Bert等多种模型，通过简单配置即可完成数据处理、模型训练、测试等过程。

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。

自然语言处理相关实验实现 some experiment of natural language processing, Like text classification, named entity recognition, pos-tags, segment, key words extractor, auto summarize etc.

TextSentimentClassification, using tensorflow.

DL-NLP is a tutorial for NLP(Natural Language Processing) based on DL(Deep Learning) by using Pytorch and Tensorflow.

Movie Rate Prediction with Tensorflow

딥러닝을 활용한 문장 분류(with word based)

基于tensorflow的文本分类 Text classification

Exploring various text classification models based on PyTorch. 基于PyTorch探索各种文本分类模型

A library of tensorflow text classifiers, making it easy to flexibly reuse classifiers without rewriting a bunch of code