微博主题数据的抓取与情感分析

《微博主题数据的抓取与情感分析》由会员上传分享，免费在线阅读，更多相关内容在教育资源-天天文库。

1、浙江大学硕士学位论文AbstractWiththeexplosivedevelopmentoftheInternetinrecentyears，peopleareexperiencingvariouswaystoobtainandpublishinformation．Thenewlybornmicro-blogstandsoutamongalltheplatformsforitssimplicity,authenticityandconvenience．Accordingtostatistics，thenumberofthemicro-blogusershasalreadyr

2、eached330millionattheendofthefirsthalfof2013．Notsurprisingly,theeverydayinformationpublicobtainedfromthemicro—blogismuchlargerthanthatfromanytraditionalmedianow．Themicro—blogconveyseveryindividual’Ssentimentaboutatopic．Asaresult，howtoefficientlycrawlthetheme—relatedmicro—blogdataanddiscernt

3、hepublic’Ssentimentstowardagiventopicisveryinterestingchallenge．Thisthesisdevelopsasystemtocrawletheme-relatedmicro—blogdataforsentimentanalysis．Themainpansofthesisarelistedasfollows：Firstly,atheme-relatedcrawlerformicro—blogdataisproposedandimplemented．Secondly,theperformanceofthesegmentat

4、ionofwordsintheme-relatedmicro-blogdataisimprovedaccordingtotheinnatecharacteristicsofmicro-blogdata．Intheend，thisthesisproposesanapproachforsentimentanalysisoftheme-relatedmicro-blogdata．Keywords：micro—blog，topiccrawler,textpreprocessing，emotionaldictionary,sentimentanalysis浙江大学硕士学位论文目录摘要⋯

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6、⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯21．3本文的组织结构⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯31．4本章小结⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯4第2章相关理论与研究综述⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯52．1网络爬虫简介⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯52．1．1网络爬虫现状⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯62．1．2网络爬虫框架⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯72．2微博与文本预处理技术简介⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯92．2．1微博相关概述⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯一1

7、02．2．2中文分词技术简介⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯112．3中外微博情感分析现状⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯一122．3．1基于词典和规则集及文本互信息的方法⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯．．132．3．2基于机器学习的方法⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯一152．4本章小结⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯．．16第3章微博数据实时抓取与预处理⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯。．173．1针对微博主题的网络爬虫⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯．．173．1．