基于个人微博时序事件的-研究

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1、内蒙古科技大学硕士学位论文category.Atthesametime,computedTF-IDFvaluestoextractmicro-blogfeaturewordsaftermakingthefeaturewordsconformeduniformdistributioninthetext;ThenThen,OnthebasisoftheextractedfeaturewordsandtermsofsimilarstructureonthetemplatecombineJaccardsimilarityandcosin

2、esimilaritytocalculateComprehensivesimilaritycalculationofpersonalmicro-blog,Thealgorithmovercomestheinadequateoftraditionalapproachbasedonlywordco-occurrence,fromsimilarwordsfeaturesandcharacteristicsoftheindividualvaluesandotheraspectstocalculatethesimilarityofthet

3、womicro-blogdeeplyandcomprehensively;Finally,utilizedK-Meansalgorithmtoclassifytimingeventsofindividualsmicro-blog,makedthesametopicmicro-blogclassifiedintothesamecollection.Theexperimentalresultsshowthattheproposedcomprehensivesimilarityalgorithmsalgorithmhashigherp

4、recisionthanthetraditionalsimilarity.Tosomeextent,itimprovedaccuracyoftimingeventsclassifiedofpersonalmicro-blog.Keywords:Featurewords；Similarwordtemplate；Similarity；EventclassificationIII内蒙古科技大学硕士学位论文目录摘要..............................................................

5、......................................................................IAbstract.....................................................................................................................................II1绪论..................................................

6、.....................................................................................11.1研究背景.......................................................................................................................11.1.1微博...............................................

7、.........................................................................21.1.2微博时序事件挖掘...............................................................................................31.2国内外研究现状..........................................................................

8、.................................31.3论文主要研究内容......................................................................................