基于微博数据的微博用户性别判断-研究

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1、万方数据AbstractWiththehigh-speedingdevelopmentofInternet，moreandmorepeoplehaveenjoyedtheconveniencebroughtbytheInternet．Micro-blog，asasocialapplicationbasedontheInternet，hasbecomeanimportanttoolforpeopletocommentanddiscusssocmlissuesbecauseofitshigh-speedandsociability．Justbecauseofitshugeusergroup

2、，high-travelingspeedandthegroupeffcct，advertisingmedia,publicopinionsupervisiondepartmentsandothersimilarunitsareinurgentneedofMicro-blogcontentanalysistogainusefulinformation．Inaddition，howtogaintheuser’sbehaviormodelandotherinformationthroughtheMicro-blogcontentanduser’Sdata,hasbecomeanimporta

3、ntpartofresearchAreaofbigsocialmediacompanysuchasTwitter,Faceboolc,TencentandSinaWeibo．Andthatoncetheuser’Sfeaturessuchasgender，ageandSOon，couldbeeffectivelypredictedthroughthecontentoftheMicro-blog，itwillplayagreatroleintheaspectsmentionedabove．Uptonow,amassofresearchworkhasbeendoneoninformatio

4、nminingfromMicro-blog，focusingonhottopicdetection，sentimentanalysis,coreopinionleaderidentification,mininginsocialmedia,etc．However,fewerresearchemphasizesontheuser'sattributesdata,suchastheclassificationaboutgender,age．Thispaperjustfocusonapartoftheusers’features，doingsomeresearchonthegenderdis

5、criminationofMicro-blogusersusingsomesimplemethodthroughanalyzingthecontentsofMicro-blogandusers’data．Themaincontributionandtheinnovationpointsofthispaperareasfollows：First，taketheTencentWeiboasanexample，thispaperdosomeresearchontheopenplatformAPIandfeaturesofMicro-blogcontents，puttingforwardana

6、utomaticallydownloadingalgorithmforthepersonalprofilesofusersandthehugeamountofMicro—blog．Theauthorfindsthat,whenanalyzingthecontentofWeibo，therearemanyinteractionoperationsintheWeibocontentbetweenthehostandtheotherusers，whichinvolvesnamesofotherusers．Thusthispaperputsforwardsanautomaticallydete

7、ctionalgorithmofusernames；usingtheusernamesdetectedautomaticallyandtheopenplatformAPI，theauthordesignedtheautomaticallydownloadingalgorithmofhugeamountofWeibocontentandpersonalprofileofusers，andestablishedthecorpusofMicroblo