基于语义角色标注的微博人物关系抽取

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1、哈尔滨工业大学工学硕士学位论文whichjustselectcontextwordsasfeaturesachievedprecisionandrecallrateof72.32%and72.35%;intheexperimentwithSinaWeibostatuscorpus,theproposedmethodinthispaperachievedprecisionandrecallrateof71.65%and71.70%,thesecondmethodarchivedprecisionandrecallrateof62

2、.67%and62.60%.ItisshowthatthecharacterrelationsextractionmethodbasedonsemanticrolelabelingfeaturesareabletoachievemoreoptimalresultsinbothnewscorpusandSinaWeibocorpus.Keywords：characterrelationshipextraction,Microblog,semanticrolelabeling,featureextraction-III-哈尔滨工业

3、大学工学硕士学位论文目录摘要............................................................................................................................IABSTRACT.................................................................................................................II第1章绪

4、论................................................................................................................11.1课题背景.............................................................................................................11.2研究目的和意义.........................

5、........................................................................21.3国内外研究现状.................................................................................................21.3.1人物实体关系抽取技术的国内外发展现状..............................................21.3.2社会关系网络分析领域

6、的国内外现状......................................................41.3.3针对社交网络网站构建的人物关系网......................................................61.4本文主要工作内容及组织结构..........................................................................7第2章微博人物关系抽取的相关技术......................

7、................................................92.1引言.....................................................................................................................92.2微博信息采集技术...................................................................................

8、..........92.2.1基于微博API的数据获取........................................................................92.2.2基于网络爬虫的页面解析.....................