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Method for extracting experience and classifying verb in blog

机译:在博客中提取经验和动词分类的方法

摘要

The present invention relates to a method for extracting a sentence representing a user's experience from a sentence recorded in a blog document, and to a method for classifying activity verbs and state verbs. Generating a sentence classifier using a machine learning method algorithm based on the above, and classifying an experience sentence which is a sentence representing a user's actual experience and a non-experience sentence which is a sentence that does not represent an experience in the blog document using the sentence classifier. It includes a step. According to the present invention, by classifying sentences in a blog document into experience sentences and non-experience sentences, it is possible to extract the experiences that the actual user in the document has made or occurred to the user.
机译:本发明涉及从博客文档中记录的句子中提取表示用户体验的句子的方法,并且涉及对活动动词和状态动词进行分类的方法。使用基于以上所述的机器学习方法算法来生成句子分类器,并且使用以下内容在博客文档中对作为代表用户的实际经验的句子的经验句子和作为不代表经验的句子的非经验句子进行分类。句子分类器。它包括一个步骤。根据本发明,通过将博客文档中的句子分类为经验句子和非经验句子,可以提取文档中的实际用户已经或对用户产生的体验。

著录项

  • 公开/公告号KR101265467B1

    专利类型

  • 公开/公告日2013-05-16

    原文格式PDF

  • 申请/专利权人

    申请/专利号KR20100130178

  • 发明设计人 맹성현;박근찬;정윤재;

    申请日2010-12-17

  • 分类号G06F17/25;G06F17/30;

  • 国家 KR

  • 入库时间 2022-08-21 16:25:10

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