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textclassification's Introduction

keras实现深度学习模型 进行文本分类

实验数据采用真实邮件数据,涉及个人隐私,无法公开,可自行寻找数据测试--格式为:文本内容,标签

模型参数未经过合适调整,目前正在实验修改验证模型当中,修改完成会更新项目

  • py2 详见py2目录下说明
  • main_control.py 主程序入口
  • dataPreprocess.py 数据处理 数据输入为:句子中的词(空格分开),标签
  • word2vec.py 训练word2vec模型
  • FastText.py fastText keras实现
  • TextCNNmodel.py word2vecter做词向量的CNN模型
  • TextRNNmodel.py SimpleRNN 双向lstm GRU
  • TextRCNNmodel.py Recurrent Convolutional Neural Networks for Text Classification
  • TextAttention.py 双向LSTM+Attention分层注意网络 -HAN模型 (与论文有区别)
  • MyModel.py 并行卷积和双向GRU

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