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)

Pre-training of Deep Bidirectional Transformers for Language Understanding: pre-train TextCNN

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

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

Multi-label Classification with BERT; Fine Grained Sentiment Analysis from AI challenger

[2017知乎看山杯 多标签 文本分类] ye组(第六名) 解题方案

all kinds of baseline models for long text classificaiton( text categorization)

1. Use BERT, ALBERT and GPT2 as tensorflow2.0's layer. 2. Implement GCN, GAN, GIN and GraphSAGE based on message passing.

mlmodels : Machine Learning and Deep Learning Model ZOO for Pytorch, Tensorflow, Keras, Gluon models...

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。

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.

multi-label，classifier，text classification，多标签文本分类，文本分类，BERT，ALBERT，multi-label-classification

SA

PyTorch repository for text categorization and NER experiments in Turkish and English.

该项目是使用word2vec+textcnn的评论分类任务，基于Tensorflow2.3开发。评论数据的获取见app_comments_spider爬虫项目。

sentiment analysis、文本分类、ALBERT、TextCNN、classification、tensorflow、BERT、CNN、text classification

Implementation of papers for text classification task on SST-1/SST-2

A deep learning text classification demo: CNN/LSTM/GRU for text classification based on pytorch. 深度学习文本分类的入门demo：CNN/RNN/双向LSTM和单向LSTM/双向GRU和单向GRU, 基于pytorch

Implementation of TextCNN, TextRNN, RCNN, FastText with Pytorch(Pytorch实现中文句子分类)

神经网络分类器，PyTorch实现

LSTM，TextCNN，fastText情感分析，模型用 tf_serving 和 flask 部署成web应用

Fine-grained Sentiment Analysis of User Reviews --- AI CHALLENGER 2018

ModifyAI 公众号项目

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

Final project for NLP(DATA130006) in Fudan university.

TextSentimentClassification, using tensorflow.

Implement Bopomofo2Chs with Tacotron.

An end-to-end sentiment analysis library, including TextCNN, BERT, Docker, React.js, etc.

🦑 中文文本分类（支持 API 部署）