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页数:7页
时间:2019-07-06
《Comparative Analysis of the Impact影响比较分析》由会员上传分享,免费在线阅读,更多相关内容在学术论文-天天文库。
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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