基于主题模型和社区发现的微博热点事件检测研究

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1、西南大学硕士学位论文ReSearCh0nH0tEVentDeteCtioninMicro—blogBasedonTopicModelandCommuni钾DiscoveryC0mmUmWUlSCOVeryMajor：ComputerSof．twareTheoryAuthor：Zhi妒ngZhangSuperVisor：AssociateProI．essorZhixingHuangAbStraCtWi廿1simple锄de伍ci锄ti11f．onnationgen耐ing锄dpropagationmech缸i锄，m

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4、reforeishowtos印踟temessagesrefertoreal-worldeVems舶m1arge锄ountsofnoisemessages．Secondly，0nemicro．blogmessage0n妙havenomorem锄140chamcterS，thesparSi吼thela唱en咖曲erofspelliIlgand伊aIrlnlaticalenDrS，锄dtheuSeofmixedlallgu楚psinmicro-blogmessages，a11mesemakeⅡle的ditionalte

5、Xt锄alysistechIliqueslesssuitableforeventdetectioniIlmicro_blog．ThispaperstudiesreLwanttecll芏lologiesabouteventdetectioniIlmicro-blogathomeandabmadfirst。锄dthellresearch锄de)(t即sionofstatic锄ddyn锄iceventdetectioni11micro．blogcaITiedaccordillgtoⅡ1epriorartdeficien

6、cies．h1temsofstaticmicro-blogeventdetection，tllispaperproposesat嘲cl髂si6cationmethodwhichbasedontopicmodel锄dBayesiaIlm锄odtodetecteventmicr0-blogsillstaticmicro．blogdata，whichmappingastaticmicr0．blogmessageasakiIldoftopicspacer印resentationandmiIlillgrelationshi

7、psb咖eentopicsandcateg嘶esofmessages，meIlmecategoryofamicro-blogmessagedetemilledbywhemermetopics’categ嘶esoft11ismessageiseventornot．Intemlsofdyn咖iceV锄tdetectionillmicro-blog，misp印erpresentsam甜lodwhichbasedoncommull时discoveqa11dkemelmetllodtodetecteVemsiIld)，ll

8、锄icmicro-blogdatas仃e锄，tllismetIlodfirstselectseVemwordSaccordingtoadyIl锄iceV％twordsIl西南大学硕士学位论文selectionalg嘶tllmwhichpmposedby廿1ispaperalso；menmakeasem柚ticgraphf-ormicro．blogdataiileacht妇