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DATA ANALYTICS FOR SOCIAL MICROBLOGGING PLATFORMS This page intentionally left blank Hybrid Computational Intelligence for Pattern Analysis and Understanding Series DATA ANALYTICS FOR SOCIAL MICROBLOGGING PLATFORMS SeriesEditors SIDDHARTHABHATTACHARYYA NILANJANDEY SOUMIDUTTA DepartmentofComputerApplicationandScience InstituteofEngineering&Management(IEM) Kolkata,India ASITKUMARDAS DepartmentofComputerScienceandTechnology IIESTShibpur Howrah,India SAPTARSHIGHOSH DepartmentofComputerScienceandEngineering IndianInstituteofTechnology,Kharagpur Kharagpur,India DEBABRATASAMANTA DepartmentofComputerScience CHRIST(DeemedtobeUniversity) Bangalore,India AcademicPressisanimprintofElsevier 125LondonWall,LondonEC2Y5AS,UnitedKingdom 525BStreet,Suite1650,SanDiego,CA92101,UnitedStates 50HampshireStreet,5thFloor,Cambridge,MA02139,UnitedStates TheBoulevard,LangfordLane,Kidlington,OxfordOX51GB,UnitedKingdom Copyright©2023ElsevierInc.Allrightsreserved. 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ISBN:978-0-323-91785-8 ForinformationonallAcademicPresspublications visitourwebsiteathttps://www.elsevier.com/books-and-journals Publisher:MaraConner EditorialProjectManager:FranchezcaA.Cabural ProductionProjectManager:PunithavathyGovindaradjane CoverDesigner:ChristianBilbow TypesetbyVTeX I, Dr. Soumi Dutta, dedicate the book to my parents, daughter, brother, husband, friends, colleagues, and all my teachers. I, Dr. Asit Kumar Das, dedicate the book to my wife, son, parents, friends, and colleagues. I, Dr. Saptarshi Ghosh, dedicate the book to my wife, parents, friends, colleagues, and all my teachers. I, Dr. Debabrata Samanta, dedicate the book to my parents Mr. Dulal Chandra Samanta, Mrs. Ambujini Samanta, my elder sister Mrs. Tanusree Samanta, brother-in-law Mr. Soumendra Jana and daughter Ms. Aditri Samanta. This page intentionally left blank Contents Abouttheauthors xi Preface xv Acknowledgments xvii Aboutthebook xix PART1 Introduction of intelligent information filtering and organization systems for social microbloggingsites 1. Introductiontomicrobloggingsites 3 1.1. Introduction 3 1.2. Onlinesocialnetworkingsites 4 1.3. Advantagesanddisadvantagesofsocialnetworking 6 1.4. Microbloggingsites 6 1.5. Informationofsocialmicrobloggingsites 9 1.6. Challengesinusingmicrobloggingsites 11 1.7. BackgroundoftheTwittermicrobloggingsite 12 1.8. Motivationofresearch 15 1.9. Challengesandrequirementsofmulti-documentsummarization 24 1.10. Contributionsofthisresearch 25 1.11. Conclusion 34 References 35 2. Literaturereviewondataanalyticsforsocialmicroblogging platforms 39 2.1. Introduction 39 2.2. Attributeselectionanditsapplicationinspamdetection 40 2.3. Summarizationwithvariousmethods 45 2.4. Clusteranalysisofmicroblogs 49 2.5. Conclusion 61 References 61 3. DatacollectionusingTwitterAPI 71 3.1. Introduction 71 3.2. Experimentaldatasetdescription 71 3.3. Datapreprocessing 85 vii viii Contents 3.4. RemovalofusernamesandURLs 86 3.5. Convertingemojisandemoticonstowords 87 3.6. Conclusion 87 References 88 PART2 Microblogging dataset applications and implications 4. Attributeselectiontoimprovespamclassification 95 4.1. Introduction 95 4.2. Literaturesurvey 96 4.3. Methodologyforclassification 100 4.4. Experimentaldataset 108 4.5. Evaluatingperformance 110 4.6. Conclusion 122 References 122 5. Ensemble summarization algorithms for microblog summarization 129 5.1. Introduction 129 5.2. Basesummarizationalgorithms 131 5.3. Unsupervisedensemblesummarization 133 5.4. Supervisedensemblesummarization 138 5.5. Experimentsandresults 140 5.6. Demonstratingtheinputandoutputofsummarizationalgorithms throughanexample 145 5.7. Conclusion 161 References 161 6. Graph-basedclusteringtechniqueformicroblogclustering 165 6.1. Introduction 165 6.2. Relatedwork 166 6.3. Backgroundstudies 172 6.4. Proposedmethodology 179 6.5. Resultsanddiscussion 185 6.6. Conclusion 187 References 187 Contents ix 7. Geneticalgorithm-basedmicroblogclusteringtechnique 193 7.1. Introduction 193 7.2. Relatedwork 194 7.3. ClusteringusinggeneticalgorithmsandK-means 198 7.4. Evaluatingperformance 204 7.5. Experimentaldataset 204 7.6. Conclusion 218 References 219 PART3 Attribute selection to improve spam classification 8. Featureselection-basedmicroblogclusteringtechnique 227 8.1. Introduction 227 8.2. Relatedwork 229 8.3. Microblogclusteringalgorithms 237 8.4. Datasetforclusteringalgorithms 241 8.5. Experimentalresults 241 8.6. Conclusion 249 References 250 9. Dimensionalityreductiontechniquesinmicroblogclustering models 257 9.1. Introduction 257 9.2. Literaturesurvey 258 9.3. Proposedmethodology 260 9.4. Dataset 266 9.5. Resultsanddiscussion 267 9.6. Conclusion 285 References 285 10.Conclusionandfuturedirections 291 10.1. Introduction 291 10.2. Summaryofcontributions 291 10.3. Futureresearchdirections 292 References 293 Index 297