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method for automatic classification of text on a document deposited after its transformation into digital data

机译:转换为数字数据后存放的文档上的文本自动分类的方法

摘要

The text to be classified is compared with the contents of a relevance lexicon in which the significant words of the texts to be classified per text class and their relevance to the text classes is stored. The fuzzy set is calculated which specifies for the significant words of the text to be classified, their occurrence per text class and their relevance to the text class. A probability calculation is used for determining the probability with which the fuzzy set occurs per class for the corresponding class. The class having the highest probability is selected and the text is allocated to this class.
机译:将要分类的文本与相关性词典的内容进行比较,在相关性词典中,每个文本类存储要分类的文本的有效词及其与文本类的相关性。计算模糊集,该模糊集为要分类的文本的重要词,每个文本类的出现及其与文本类的相关性指定。概率计算用于确定相应类别的每个类别出现模糊集的概率。选择具有最高概率的类别,并将文本分配给该类别。

著录项

  • 公开/公告号DE59701176D1

    专利类型

  • 公开/公告日2000-04-06

    原文格式PDF

  • 申请/专利权人 SIEMENS AG;

    申请/专利号DE19975001176T

  • 发明设计人 BLOCK HANS-ULRICH;BRUECKNER THOMAS;

    申请日1997-03-21

  • 分类号G06F17/30;G06F17/60;G06F19/00;G06K9/68;G06K9/72;

  • 国家 DE

  • 入库时间 2022-08-22 01:40:53

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