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，micro．bloggingsen，ice谢lichisaIl锄e唱ingsocia

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3、icro-blog．Firstly，micro-blogdatas吮amcont2Lmsla鸦e锄ountsofValueless嬲dme锄iIlglessmessages谢lichisalsocallednoisemessages，amajorchall锄ge蠡IcingeVentdetection缸髓themicro-blogdatas仃e锄thereforeishowtos印踟temessagesrefertoreal-worldeVems舶m1arge锄ountsofnoisemessages．Secondly，0nemicro．blogmessage0n妙havenomorem锄14

4、0chamcterS，thesparSi吼thela唱en咖曲erofspelliIlgand伊aIrlnlaticalenDrS，锄dtheuSeofmixedlallgu楚psinmicro-blogmessages，a11mesemakeⅡle的ditionalteXt锄alysistechIliqueslesssuitableforeventdetectioniIlmicro_blog．ThispaperstudiesreLwanttecll芏lologiesabouteventdetectioniIlmicro-blogathomeandabmadfirst。锄dthellresea

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6、sakiIldoftopicspacer印resentationandmiIlillgrelationshipsb咖eentopicsandcateg嘶esofmessages，meIlmecategoryofamicro-blogmessagedetemilledbywhemermetopics’categ嘶esoft11ismessageiseventornot．Intemlsofdyn咖iceV锄tdetectionillmicro-blog，misp印erpresentsam甜lodwhichbasedoncommull时discoveqa11dkemelmetllodtodetect

7、eVemsiIld)，ll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