{"id":"https://openalex.org/W4389332282","doi":"https://doi.org/10.1109/cce60043.2023.10332847","title":"Multi-label Bengali Abusive Comments Classification using Problem Transformation Method","display_name":"Multi-label Bengali Abusive Comments Classification using Problem Transformation Method","publication_year":2023,"publication_date":"2023-10-25","ids":{"openalex":"https://openalex.org/W4389332282","doi":"https://doi.org/10.1109/cce60043.2023.10332847"},"language":"en","primary_location":{"id":"doi:10.1109/cce60043.2023.10332847","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cce60043.2023.10332847","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 20th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE)","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/A5013070639","display_name":"Tahsin Tasnia Khan","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Tahsin Tasnia Khan","raw_affiliation_strings":["Rajshahi University of Engineering & Technology,Dept. of Electrical & Computer Engineering,Rajshahi,Bangladesh"],"affiliations":[{"raw_affiliation_string":"Rajshahi University of Engineering & Technology,Dept. of Electrical & Computer Engineering,Rajshahi,Bangladesh","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028963992","display_name":"Abid Hassan","orcid":"https://orcid.org/0000-0001-9326-6665"},"institutions":[{"id":"https://openalex.org/I157386601","display_name":"North South University","ror":"https://ror.org/05wdbfp45","country_code":"BD","type":"education","lineage":["https://openalex.org/I157386601"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"Abid Hassan","raw_affiliation_strings":["North South University,Dept. of Electrical & Computer Engineering,Dhaka,Bangladesh"],"affiliations":[{"raw_affiliation_string":"North South University,Dept. of Electrical & Computer Engineering,Dhaka,Bangladesh","institution_ids":["https://openalex.org/I157386601"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017018760","display_name":"Md. Faysal Ahamed","orcid":"https://orcid.org/0000-0002-7014-3205"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Md Faysal Ahamed","raw_affiliation_strings":["International Standard University,Dept. of Computer Science & Engineering,Dhaka,Bangladesh"],"affiliations":[{"raw_affiliation_string":"International Standard University,Dept. of Computer Science & Engineering,Dhaka,Bangladesh","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012102191","display_name":"Samiul Islam","orcid":"https://orcid.org/0000-0003-4319-6552"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Samiul Islam","raw_affiliation_strings":["Rajshahi University of Engineering & Technology,Dept. of Electrical & Computer Engineering,Rajshahi,Bangladesh"],"affiliations":[{"raw_affiliation_string":"Rajshahi University of Engineering & Technology,Dept. of Electrical & Computer Engineering,Rajshahi,Bangladesh","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5013070639"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.6957,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.76800764,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9962999820709229,"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9962999820709229,"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/T12262","display_name":"Hate Speech and Cyberbullying Detection","score":0.9962000250816345,"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/T11644","display_name":"Spam and Phishing Detection","score":0.9959999918937683,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7267937064170837},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6967498064041138},{"id":"https://openalex.org/keywords/bengali","display_name":"Bengali","score":0.6827220916748047},{"id":"https://openalex.org/keywords/multi-label-classification","display_name":"Multi-label classification","score":0.5959195494651794},{"id":"https://openalex.org/keywords/confusion-matrix","display_name":"Confusion matrix","score":0.580597996711731},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.5629540085792542},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5616745948791504},{"id":"https://openalex.org/keywords/multinomial-logistic-regression","display_name":"Multinomial logistic regression","score":0.5441499948501587},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5274322628974915},{"id":"https://openalex.org/keywords/logistic-regression","display_name":"Logistic regression","score":0.46031591296195984},{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.4344116151332855},{"id":"https://openalex.org/keywords/binary-classification","display_name":"Binary classification","score":0.4212890863418579},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.41456830501556396},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.379564106464386},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.16601890325546265}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7267937064170837},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6967498064041138},{"id":"https://openalex.org/C19235068","wikidata":"https://www.wikidata.org/wiki/Q9610","display_name":"Bengali","level":2,"score":0.6827220916748047},{"id":"https://openalex.org/C2776482837","wikidata":"https://www.wikidata.org/wiki/Q3553958","display_name":"Multi-label classification","level":2,"score":0.5959195494651794},{"id":"https://openalex.org/C138602881","wikidata":"https://www.wikidata.org/wiki/Q2709591","display_name":"Confusion matrix","level":2,"score":0.580597996711731},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.5629540085792542},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5616745948791504},{"id":"https://openalex.org/C117568660","wikidata":"https://www.wikidata.org/wiki/Q1650843","display_name":"Multinomial logistic regression","level":2,"score":0.5441499948501587},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5274322628974915},{"id":"https://openalex.org/C151956035","wikidata":"https://www.wikidata.org/wiki/Q1132755","display_name":"Logistic regression","level":2,"score":0.46031591296195984},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.4344116151332855},{"id":"https://openalex.org/C66905080","wikidata":"https://www.wikidata.org/wiki/Q17005494","display_name":"Binary classification","level":3,"score":0.4212890863418579},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.41456830501556396},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.379564106464386},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.16601890325546265}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cce60043.2023.10332847","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cce60043.2023.10332847","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 20th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.5199999809265137}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1565201084","https://openalex.org/W2330376137","https://openalex.org/W2792916349","https://openalex.org/W2963944267","https://openalex.org/W3036262837","https://openalex.org/W3108724972","https://openalex.org/W3140854437","https://openalex.org/W3176748850","https://openalex.org/W3183233606","https://openalex.org/W4200233281","https://openalex.org/W4287122681","https://openalex.org/W4320234102","https://openalex.org/W6775880155","https://openalex.org/W6797317072"],"related_works":["https://openalex.org/W2510206144","https://openalex.org/W1991020953","https://openalex.org/W4376528628","https://openalex.org/W2964297678","https://openalex.org/W4205999209","https://openalex.org/W2739554176","https://openalex.org/W2900338305","https://openalex.org/W4308086152","https://openalex.org/W4293079970","https://openalex.org/W2241072627"],"abstract_inverted_index":{"Sentiment":[0],"analysis":[1],"on":[2,16],"the":[3,17,21,38,89,137,148,179],"Bengali":[4,22],"language":[5],"is":[6],"limited":[7],"to":[8,97,147,189],"binary":[9],"and":[10,53,63,78,105,125,133,169],"multi-class":[11],"classifications.":[12],"This":[13,86],"paper":[14],"focuses":[15],"multi-label":[18,57],"classification":[19,99,174],"of":[20,31,91,130,143,153,193],"abusive":[23],"social":[24,33],"media":[25,34],"comments":[26,36],"dataset":[27,149],"having":[28],"10220":[29],"rows":[30],"different":[32,56],"negative":[35],"using":[37],"problem":[39],"transformation":[40],"method.":[41],"The":[42,128],"texts":[43],"are":[44,81,112],"categorized":[45],"into":[46],"five":[47,156,191],"labels:":[48],"toxic,":[49],"threat,":[50],"obscene,":[51],"insult,":[52],"racism.":[54],"Three":[55],"approaches:":[58],"Binary":[59],"Relevance,":[60],"Label":[61,131,180],"Powerset,":[62],"Classifier":[64],"Chain":[65],"combined":[66],"with":[67,114,150,182],"three":[68,166],"popular":[69],"machine":[70],"learning":[71],"algorithms:":[72],"Multinomial":[73],"Naive":[74],"Bayes,":[75],"Random":[76],"Forest,":[77],"Logistic":[79,134,183],"Regression":[80,135,184],"implemented":[82],"in":[83,195],"this":[84],"research.":[85],"study":[87],"evaluates":[88],"performance":[90,116],"these":[92],"models":[93],"by":[94],"applying":[95],"them":[96],"various":[98],"scenarios,":[100],"considering":[101,165],"five-label,":[102],"four-label,":[103],"three-label,":[104],"two-label":[106],"classifications":[107,168],"independently.":[108],"Our":[109],"research":[110],"outcomes":[111],"evaluated":[113],"some":[115],"indicators:":[117],"Accuracy,":[118],"Precision,":[119],"Recall,":[120],"F1-Scores,":[121],"Confusion":[122],"matrix,":[123],"Macro-average,":[124],"Hamming":[126],"score.":[127],"combination":[129],"Powerset":[132,181],"outperformed":[136],"other":[138],"two":[139,172],"classifier-model":[140],"combinations":[141],"because":[142],"their":[144],"quick":[145],"adaptation":[146],"an":[151],"accuracy":[152],"88.07%":[154,177],"for":[155,160,171],"label":[157,162,167,173],"classifications,":[158,163],"90.12%":[159],"four":[161],"90.56%":[164],"92.67%":[170],"individually.":[175],"With":[176],"accuracy,":[178],"approach":[185],"can":[186],"be":[187],"applied":[188],"classify":[190],"types":[192],"sentiment":[194],"a":[196],"single":[197],"text.":[198]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1}],"updated_date":"2026-03-30T08:08:38.191290","created_date":"2025-10-10T00:00:00"}