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NLP之keras中文文本分类系列算法封装，简单易用(超详细教程)

  • 2020 年 3 月 12 日
  • 笔记

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)

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