Comparative Analysis of the Impact影响比较分析

Comparative Analysis of the Impact影响比较分析

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时间:2019-07-06

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1、DevendraTayaletal/InternationalJournalonComputerScienceandEngineeringVol.1(3),2009,176-182ComparativeAnalysisoftheImpactofBloggingandMicro-bloggingonMarketPerformanceDevendraTayalSatyaKomaragiriDepartmentofComputerScienceandEngineeringAssociateSoftwareEngineerIndiraGand

2、hiInstituteofTechnologyRedHatSoftwareServicesIndiaPvt.Ltd.NewDelhi,IndiaPune,India(dev_tayal2001@yahoo.com)(satya.komaragiri@gmail.com)Abstract―ThegeneralperceptionsaboutaproductandtheWiththeimmensesuccessofblogsasameanstoreputationofthecompanydeterminetoagreatextenthow

3、presentsubjectivecontentlikeopinionsandsentiments,welltheproductsells.Itisthusimperativethatwemakenewermeansofexpressingfeelingslikemicro-bloggingeffortstounderstandthepublicopinionsandsentiments,as(Twitteretc.)haveemerged.Providingauniqueblendoftheycanbeaverygoodindica

4、toroftheproduct’sfuturesalessocialnetworkingideaswithblogging,micro-bloggingisperformance.gainingwidespreadacceptanceasthenewtech-savvywayofsharinginformation.Inthispaper,weexplorethetwomostcommononlinemediawhichhavebeenusedbythepublictoexpresssuchtypeofAccordingtomarke

5、tresearcherNielsonOnlinethesubjectivecontent:BlogsandMicro-blogs.Weperforma1numberofuniquevisitorstoTwitterjumpedancomparativeanalysisofthepredictivepowerofthetwomediaunbelievable1,382percent,from475,000inFebruary2008toknowwhichoftheseformatscanprovetobeamoreusefulto7mi

6、llioninFebruary2009[7].TherecentTwitterrepresentativeofsentimentstoanautonomousstockpricecampaignMoonfruit2Inc.threwupsomeveryinterestingpredictionsystem.statistics.The7daycampaignincreasedthetraffictoMoonfruit.comby600%andthenumberofsignupsbyKeywords–Blogging;Micro-blo

7、gging;SentimentAnalysis;100%[8].TextMining;OpinionMiningWithanever-increasinguserbase,itisperhapsprudentI.INTRODUCTIONtoinvestigatetheextenttowhichitcanrepresentthegeneralpublicsentiments.Formanybusinesses,onlinecustomeropinionshavebecomeatypeofvirtualcurrencythatcanmak

8、eorbreakForthispurpose,webuildaforetellersystemwhichtheirproducts.Withsentimentanalysisalgorithms,predictsthef

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