{"id":"https://openalex.org/W4406460947","doi":"https://doi.org/10.1109/bigdata62323.2024.10825818","title":"Twitter Sentiment Analysis, 2-Way Classification: Offensive or Not-Offensive?","display_name":"Twitter Sentiment Analysis, 2-Way Classification: Offensive or Not-Offensive?","publication_year":2024,"publication_date":"2024-12-15","ids":{"openalex":"https://openalex.org/W4406460947","doi":"https://doi.org/10.1109/bigdata62323.2024.10825818"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata62323.2024.10825818","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata62323.2024.10825818","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Big Data (BigData)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5013249834","display_name":"Mestan F\u0131rat \u00c7eliktu\u011f","orcid":null},"institutions":[{"id":"https://openalex.org/I162577319","display_name":"The University of Texas at Dallas","ror":"https://ror.org/049emcs32","country_code":"US","type":"education","lineage":["https://openalex.org/I162577319"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Mestan F\u0131rat \u00c7eliktu\u011f","raw_affiliation_strings":["University of Texas at Dallas,Department of Computer Science,Richardson,Texas,US"],"affiliations":[{"raw_affiliation_string":"University of Texas at Dallas,Department of Computer Science,Richardson,Texas,US","institution_ids":["https://openalex.org/I162577319"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5013249834"],"corresponding_institution_ids":["https://openalex.org/I162577319"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.23775143,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"6933","last_page":"6943"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12262","display_name":"Hate Speech and Cyberbullying Detection","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12262","display_name":"Hate Speech and Cyberbullying Detection","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9814000129699707,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/offensive","display_name":"Offensive","score":0.9862232804298401},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5751040577888489},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.41899198293685913},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34426817297935486},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11127448081970215},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.08912327885627747}],"concepts":[{"id":"https://openalex.org/C176856949","wikidata":"https://www.wikidata.org/wiki/Q2001676","display_name":"Offensive","level":2,"score":0.9862232804298401},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5751040577888489},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.41899198293685913},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34426817297935486},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11127448081970215},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.08912327885627747}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigdata62323.2024.10825818","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata62323.2024.10825818","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Big Data (BigData)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W792626264","https://openalex.org/W1505742155","https://openalex.org/W2024011160","https://openalex.org/W2072242339","https://openalex.org/W2129034170","https://openalex.org/W2170414372","https://openalex.org/W2267835966","https://openalex.org/W2783792814","https://openalex.org/W2787894218","https://openalex.org/W2791061589","https://openalex.org/W2807026026","https://openalex.org/W2886652704","https://openalex.org/W2914950200","https://openalex.org/W2937115320","https://openalex.org/W2955660984","https://openalex.org/W2995179471","https://openalex.org/W3010658598","https://openalex.org/W3024435309","https://openalex.org/W3037595816","https://openalex.org/W3115343927","https://openalex.org/W3134728912","https://openalex.org/W3185667514","https://openalex.org/W3187767516","https://openalex.org/W3207228856","https://openalex.org/W3217767020","https://openalex.org/W4236685397","https://openalex.org/W4254751698","https://openalex.org/W4280589882","https://openalex.org/W4281561971","https://openalex.org/W4287019905","https://openalex.org/W4287890960","https://openalex.org/W4298051720","https://openalex.org/W4382395375","https://openalex.org/W6747945526","https://openalex.org/W6771658506","https://openalex.org/W6777280052","https://openalex.org/W6794118396","https://openalex.org/W6794933516","https://openalex.org/W6799874032","https://openalex.org/W6800898766","https://openalex.org/W6843853820"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W1568520348","https://openalex.org/W3214407891","https://openalex.org/W3194113117","https://openalex.org/W4287020359","https://openalex.org/W3213194066","https://openalex.org/W268355439","https://openalex.org/W2967125893"],"abstract_inverted_index":{"In":[0],"the":[1,68,120,137,169,178,223,246,250,254,268,291,295,305,313,321,328,351,365],"age":[2],"of":[3,28,70,107,139,142,146,156,180,204,206,225,290,294,307,315,327,338,378],"rapid":[4],"information":[5],"exchange,":[6],"understanding":[7],"public":[8],"sentiment":[9],"on":[10,189,364,372],"social":[11],"media":[12],"platforms":[13],"like":[14],"Twitter":[15,29,114,299],"has":[16,81],"become":[17],"essential":[18],"for":[19,86,122,202,298,376],"various":[20],"stakeholders.":[21],"This":[22],"paper":[23],"presents":[24],"a":[25,82,87,123,175],"comprehensive":[26],"analysis":[27],"Offensive":[30,108,300],"Language":[31,109,301],"Detection":[32,100],"problem":[33],"using":[34],"several":[35,157],"robust,":[36],"powerful":[37],"and":[38,58,92,160,164,182,191,209,227,333,380],"expressive":[39,317],"machine":[40],"learning":[41,251],"models":[42,232,280],"from":[43,133],"different":[44,132,352],"model":[45,72,318,331,341,354],"families,":[46],"including":[47,126],"Artificial":[48],"Neural":[49],"Networks":[50],"(ANN),":[51],"Support":[52],"Vector":[53],"Machines":[54],"(SVM),":[55],"Decision":[56],"Trees(DT),":[57],"Random":[59],"Forests":[60],"(RT).":[61],"The":[62,111],"primary":[63],"objective":[64],"is":[65,103,116,131,172,253,369],"to":[66,274,303],"evaluate":[67],"effectiveness":[69],"each":[71],"in":[73,119,174,265,312],"classifying":[74],"tweets":[75],"as":[76],"\"offensive\"":[77],"or":[78,283,359],"\"not-offensive\",":[79],"which":[80,130],"priceless":[83],"precaution":[84],"value":[85],"great":[88],"many":[89],"institutions,":[90],"corporations,":[91],"regulatory":[93],"bodies":[94],"with":[95,197,222,243,260,267,285],"priority":[96],"against":[97],"Hate":[98],"Speech":[99],"-as":[101],"it":[102],"an":[104,347],"aggravated":[105],"form":[106],"Detection-.":[110],"studied":[112],"annotated":[113],"dataset":[115],"majorly":[117],"utilized":[118],"literature":[121],"classification":[124],"task":[125],"hate":[127,147],"speech":[128],"detection,":[129],"our":[134],"approach":[135,349],"prioritizing":[136],"detection":[138],"all":[140],"forms":[141],"offensive":[143],"language":[144],"regardless":[145],"speech.Upon":[148],"tweet":[149],"preprocessing":[150],"that":[151,177],"involves":[152],"data":[153],"cleaning":[154],"(removal":[155],"not-relevant":[158],"patterns":[159],"stopwords),":[161],"applying":[162],"tokenization":[163],"stemmization":[165],"(":[166],"Porter":[167],"stemmization),":[168],"feature":[170,187,200],"engineering":[171],"held":[173],"way":[176],"effects":[179],"unigram":[181,199],"bigram":[183],"features,":[184],"sentimental":[185],"polarity-based":[186],"extraction":[188,201],"overall":[190,238,269,324,336,361],"class-based":[192,343],"accuracies":[193],"are":[194],"investigated,":[195],"concluding":[196],"top-1500":[198],"prevention":[203],"curse":[205],"dimensionality.Upon":[207],"proper":[208],"well-administered":[210],"hyperparameter":[211,310],"tuning":[212,311],"(incl.":[213],"Early":[214],"Stopping":[215],"Method,":[216],"Grid":[217,220],"Search,":[218],"Halving":[219],"Search)":[221],"consideration":[224],"computation":[226],"storage":[228],"resources,":[229],"three":[230,329],"(3)":[231],"(SVM,":[233],"ANN,":[234],"DT)":[235],"reach":[236],"96%":[237],"accuracy":[239,325,337,362],"ratio":[240],"(except":[241],"RF":[242],"95%).":[244],"Overall,":[245],"better-grasped":[247],"class":[248,256,263,270,288],"during":[249],"process":[252],"\"Offensive\"":[255,262],"(at":[257],"best,":[258],"DT":[259],"97%":[261],"accuracy),":[264],"accordance":[266],"imbalance.":[271],"However,":[272],"worthy":[273],"note":[275],"that,":[276],"SVM":[277],"outperforms":[278],"other":[279],"(by":[281],"4%":[282],"5%)":[284],"94%":[286],"\"Not-offensive\"":[287],"accuracy.One":[289],"main":[292],"contributions":[293],"study":[296],"is,":[297],"Detection,":[302],"demonstrate":[304],"power":[306],"proper,":[308],"realistic":[309],"existence":[314],"sufficiently":[316],"family":[319],"by":[320],"same":[322],"top-notch":[323],"result":[326],"robust":[330,340,353],"families":[332,355],"1%":[334,358],"less":[335],"another":[339],"family.The":[342],"performance":[344],"differences":[345],"suggest":[346],"Ensemble":[348],"combining":[350],"might":[356],"gain":[357],"2%":[360],"based":[363],"early":[366],"literature.The":[367],"work":[368],"made":[370],"available":[371],"GitHub<sup":[373],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[374],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">1</sup>":[375],"ease":[377],"use":[379],"access.":[381]},"counts_by_year":[],"updated_date":"2025-12-27T23:08:20.325037","created_date":"2025-10-10T00:00:00"}
