Social media analytics: a survey of techniques, tools and ...

A comprehensive review of software tools for social networking media, wikis, really simple syndication feeds, blogs, newsgroups, chat and ... SkiptosearchformSkiptomaincontentSkiptoaccountmenuYouarecurrentlyoffline.Somefeaturesofthesitemaynotworkcorrectly.DOI:10.1007/s00146-014-0549-4CorpusID:12574246Socialmediaanalytics:asurveyoftechniques,toolsandplatforms@article{Batrinca2014SocialMA, title={Socialmediaanalytics:asurveyoftechniques,toolsandplatforms}, author={BogdanBatrincaandPhilipC.Treleaven}, journal={AI\&SOCIETY}, year={2014}, volume={30}, pages={89-116} }BogdanBatrinca,P.TreleavenPublished1February2015ComputerScienceAI&SOCIETYThispaperiswrittenfor(socialscience)researchersseekingtoanalyzethewealthofsocialmedianowavailable.Itpresentsacomprehensivereviewofsoftwaretoolsforsocialnetworkingmedia,wikis,reallysimplesyndicationfeeds,blogs,newsgroups,chatandnewsfeeds.Forcompleteness,italsoincludesintroductionstosocialmediascraping,storage,datacleaningandsentimentanalysis.Althoughprincipallyareview,thepaperalsoprovidesamethodologyandacritiqueofsocialmedia… ExpandViewonSpringerlink.springer.comSavetoLibrarySaveCreateAlertAlertCiteShareThisPaper350CitationsHighlyInfluentialCitations16BackgroundCitations94MethodsCitations48ResultsCitations1ViewAllFiguresandTopicsfromthispaperfigure1figure2figure3figure4figure6figure7figure8figure10figure11figure12figure13figure14figure15figure16figure17figure18figure19figure20ViewAll18Figures&TablesSocialmediaanalyticsSentimentanalysisApplicationprogramminginterfaceWikiTaxonomy(general)RSSWebapplicationSystemsarchitectureDataretrievalWebsyndicationBlogComputationPlasmacleaning350CitationsCitationTypeCitationTypeAllTypesBackgroundCitationsMethodsCitationsResultsCitationsHasPDFPublicationTypeAuthorMoreFiltersMoreFiltersFiltersSortbyRelevanceSortbyMostInfluencedPapersSortbyCitationCountSortbyRecencySocialMediaAnalysisthroughBigDataAnalytics:ASurveySheelaSingh,PriyankaArya,AlpnaPatel,A.TiwariComputerScienceSSRNElectronicJournal2019TLDRTheplatformandtoolsforsocialmediaanalysissuchasbusinesstoolkit,scientificprogrammingtools,monitoringtoolsandfeatureanalysistools,andthevarioustextformatssuchasHTML,XML,JSON,andCSVarediscussed.Expand2SaveAlertSocialmediaanalyticsandinternetofthings:surveyW.Y.Ayele,GustafJuell-SkielseComputerScienceIML2017TLDRTheliteraturereviewindicatesthattherearefewerresearchworksdoneintheareaofsocialmediaanalyticsandIoTcomparedtoDataMiningandIoT,andthispaperfacilitatesdiscussionandelicitsresearchpotentialsinsocialmediaAnalyticsandIoTintegration.Expand3View2excerpts,citesbackgroundSaveAlertReviewofsocialmediaanalyticsprocessandBigDatapipelineHibaSebei,MohamedAliHadjTaieb,M.BenaouichaComputerScienceSocialNetworkAnalysisandMining2018TLDRAnoverallglobalviewconcerningthesuperpositionofthesocialmediaanalyticsandBigDatatechnologieshasbeendrawnanddiscussed,alongwithapromisingpotentialresearchtrend.Expand18View2excerpts,citesbackgroundSaveAlertSocialmediacomparisonandanalysis:Thebestdatasourceforresearch?NeliBlagus,SlavkoZitnikComputerScience201812thInternationalConferenceonResearchChallengesinInformationScience(RCIS)2018TLDRItisuncoveredthatpopularityofselectedtopicsinsocialmediaisproportionaltothenumberofhitsonGoogle,celebritiesandpoliticiansarethemosttalkedtopicsandthatbehaviourofusersacrosssocialmediaIsdifferent,andbasicusagestatistics,reachandengagementdifferences,language,sentimentandgenderidentificationareshown.Expand5View1excerpt,citesmethodsSaveAlertSentimentAnalysisMethodologyforSocialWebIntelligenceSeanBjurstrom,MiloslavaPlachkinovaComputerScienceAMCIS2015TLDRAcomparisonoftwosimilarmethodologiesforsentimentanalysiswhichcanbeutilizedbyanytypeoforganizationisproposed,andadetailedguideforpractitionerstoincorporatesentimentanalysisinbusinessoperationsisprovided.Expand2SaveAlertSocialNetworkingDataAnalysisToolsandServicesG.KrishnaComputerScience2018TLDROnlinesocialnetworking(OSN)canbedefinedasinvolvingnetworkingforfun,business,andcommunication,andthreemethodsareused:datapre-processing,dataanalysis,anddatainterpretation.Expand1SaveAlertAnExploratoryAnalysisonDataFeaturesandAnalysisTechniquesinSocialNetworks.U.Tanuja,H.Gururaj,V.JanhaviComputerScience201911thInternationalConferenceonCommunicationSystems&Networks(COMSNETS)2019TLDRInthispaperthepreliminaryworkconcerningwithseveraltypesofdatafeaturesofsocialnetworksandalsothedetaileddataanalysisonsocialnetworksarediscussed.Expand3View2excerpts,citesmethodsandbackgroundSaveAlertSentimentAnalysisMethodologyforSocialWebIntelligenceFullSeanBjurstrom,MiloslavaPlachkinovaComputerScience2015TLDRAcomparisonoftwosimilarmethodologiesforsentimentanalysiswhichcanbeutilizedbyanytypeoforganizationisproposed,andadetailedguideforpractitionerstoincorporatesentimentanalysisinbusinessoperationsisprovided.ExpandSaveAlertSocialMediaIntelligenceandLearningEnvironment:anOpenSourceFrameworkforSocialMediaDataCollection,AnalysisandCurationChenWang,LuigiMarini,+4authorsJosephT.YunComputerScience201915thInternationalConferenceoneScience(eScience)2019TLDRSMILEprovidesauser-friendlywebinterfacethroughwhichresearcherscanperformawidespectrumofresearchtasks,rangingfromsocialmediadatacollection,naturallanguageprocessing,textclassification,socialnetworkanalysis,andgeneratinghumanreadableoutputsandvisualizations.ExpandView1excerpt,citesbackgroundSaveAlertBusinessIntelligenceModeltoAnalyzeSocialMediaInformationParamaFadliKurnia,SuharjitoComputerScience201818PDFSaveAlert...12345...ReferencesSHOWING1-10OF44REFERENCESSORTBYRelevanceMostInfluencedPapersRecencyUsersoftheworld,unite!ThechallengesandopportunitiesofSocialMediaA.Kaplan,M.HaenleinComputerScience201012,888PDFView2excerpts,referencesbackgroundSaveAlertIfyoulovesomething,letitgomobile:Mobilemarketingandmobilesocialmedia4x4A.KaplanBusiness2012366PDFView1excerpt,referencesbackgroundSaveAlertOpinionMiningandSentimentAnalysisB.Pang,LillianLeeComputerScienceFound.TrendsInf.Retr.2007TLDRThissurveycoverstechniquesandapproachesthatpromisetodirectlyenableopinion-orientedinformation-seekingsystemsandfocusesonmethodsthatseektoaddressthenewchallengesraisedbysentiment-awareapplications,ascomparedtothosethatarealreadypresentinmoretraditionalfact-basedanalysis.Expand5,373PDFView1excerpt,referencesbackgroundSaveAlertSentimentAnalysis:AnOverviewSachinKadam,ShwetaT.JoglekarComputerScience2013TLDRThispaperdescribesthefieldofSentimentAnalysisanditslatestdevelopmentsanddescribestheneedforautomaticopiniondiscoveryandsummarizationsystems.Expand47SaveAlertSentimentAnalysisofMovieReviewCommentsKuatYessenovComputerScience2009TLDRAnempiricalstudyofefficacyofmachinelearningtechniquesinclassifyingtextmessagesbysemanticmeaningusingmoviereviewcommentsfrompopularsocialnetworkDiggasadatasetandevaluatingtheireffectonaccuracyoffourmachinelearningmethods-NaiveBayes,DecisionTrees,Maximum-Entropy,andK-Meansclustering.Expand47View1excerpt,referencesmethodsSaveAlertModellingtheStockMarketusingTwitterM.Sebastian,A.WolframComputerScience2010TLDRThisthesisexaminestheuseofNaturalLanguageProcessingtechniqueswithapredictivemachinelearningapproachtoanalyzemillionsofTwitterpoststocreateamodelthatenablesthepredictionofstockpricesandresultswereingeneralpromising.Expand19View1excerpt,referencesmethodsSaveAlertTwittermoodpredictsthestockmarketJ.Bollen,HuinaMao,Xiao-junZengPsychologyJ.Comput.Sci.20114,275HighlyInfluentialPDFView1excerpt,referencesbackgroundSaveAlertAComputationalSocialScienceEnvironmentforFinancial/EconomicExperimentsM.Galas,DanielBrown,P.TreleavenComputerScience2012TLDRAmajorcomputationalsocialscienceenvironmentforconductingexperimentsinfinanceandeconomics,specificallyforinvestigatingtradingalgorithmsandeconomicriskisdescribed,designedspecificallytostudythebehaviorandriskoftradingalgorithms.Expand4PDFSaveAlertComparativeAnalysisofDataMiningToolsandTechniquesforEvaluatingPerformanceofDatabaseSystemA.Hirudkar,S.SherekarComputerScience2013TLDRAnalysisofWEKA,RapidMinerandNetToolsspidertoolsKNIMEandOrangepresentsvariousbenefitsofthesedataminingtoolsalongwithdesiredaspectsandthefeaturesofcurrenttools.Expand12PDFSaveAlertAReviewofMachineLearningAlgorithmsforText-DocumentsClassificationB.Baharudin,LamHongLee,KhairullahKhanComputerScience2010TLDRThispaperprovidesareviewofthetheoryandmethodsofdocumentclassificationandtextmining,focusingontheexistingtechniquesandmethodologies,focusedmainlyontextrepresentationandmachinelearningtechniques.Expand518PDFView1excerptSaveAlert...12345...RelatedPapersAbstractFiguresandTopics350Citations44ReferencesRelatedPapersByclickingacceptorcontinuingtousethesite,youagreetothetermsoutlinedinourPrivacyPolicy,TermsofService,andDatasetLicenseACCEPT&CONTINUE