NLP之keras中文文本分类系列算法封装，简单易用(超详细教程)

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

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keras_textclassification

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项目说明

1. 构建了base基类(网络(graph)、向量嵌入(词、字、句子embedding)),后边的具体模型继承它们，代码简单
2. keras_layers存放一些常用的layer, conf存放项目数据、模型的地址, data存放数据和语料, data_preprocess为数据预处理模块,

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模型与论文paper题与地址

• FastText: Bag of Tricks for Efficient Text Classification
• TextCNN：Convolutional Neural Networks for Sentence Classification
• charCNN-kim：Character-Aware Neural Language Models
• charCNN-zhang: Character-level Convolutional Networks for Text Classification
• TextRNN：Recurrent Neural Network for Text Classification with Multi-Task Learning
• RCNN：Recurrent Convolutional Neural Networks for Text Classification
• DCNN: A Convolutional Neural Network for Modelling Sentences
• DPCNN: Deep Pyramid Convolutional Neural Networks for Text Categorization
• VDCNN: Very Deep Convolutional Networks
• CRNN: A C-LSTM Neural Network for Text Classification
• DeepMoji: Using millions of emojio ccurrences to learn any-domain represent ations for detecting sentiment, emotion and sarcasm
• SelfAttention: Attention Is All You Need
• HAN: Hierarchical Attention Networks for Document Classification
• CapsuleNet: Dynamic Routing Between Capsules
• Transformer(encode or decode): Attention Is All You Need
• Bert: BERT: Pre-trainingofDeepBidirectionalTransformersfor LanguageUnderstanding
• Xlnet: XLNet: Generalized Autoregressive Pretraining for Language Understanding
• Albert: ALBERT: A LITE BERT FOR SELF-SUPERVISED LEARNING OF LANGUAGE REPRESENTATIONS

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参考/感谢

• 文本分类项目: https://github.com/mosu027/TextClassification
• 文本分类看山杯: https://github.com/brightmart/text_classification
• Kashgari项目: https://github.com/BrikerMan/Kashgari
• 文本分类Ipty : https://github.com/lpty/classifier
• keras文本分类: https://github.com/ShawnyXiao/TextClassification-Keras
• keras文本分类: https://github.com/AlexYangLi/TextClassification
• CapsuleNet模型: https://github.com/bojone/Capsule
• transformer模型: https://github.com/CyberZHG/keras-transformer
• keras_albert_model: https://github.com/TinkerMob/keras_albert_model

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训练简单调用:

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Train&Usage(调用)

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Predict&Usage(调用)