首页> 外国专利> An explanation-added document classification method by an artificial neural network that learns the correlation between words, sentence feature values, and word weights

An explanation-added document classification method by an artificial neural network that learns the correlation between words, sentence feature values, and word weights

机译:由人工神经网络的解释 - 添加文档分类方法,其学习单词,句子特征值和Word权重之间的相关性

摘要

The method for classifying documents with explanations according to an embodiment of the present invention determines the reason and/or basis for classifying documents based on weights generated by an artificial neural network that has learned the correlation between words, sentence feature values and word weights. can present
机译:根据本发明实施例的说明具有解释的文档的方法确定基于由人工神经网络生成的权重进行分类文档的原因和/或基础,该文档已经学习了单词,句子特征值和Word权重之间的相关性。可以出示

著录项

  • 公开/公告号KR102264232B1

    专利类型

  • 公开/公告日2021-06-14

    原文格式PDF

  • 申请/专利权人

    申请/专利号KR1020190064066

  • 申请日2019-05-30

  • 分类号G06F16/93;G06F16/33;G06F40/20;

  • 国家 KR

  • 入库时间 2022-08-24 19:18:44

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