{"id":"https://openalex.org/W4406417349","doi":"https://doi.org/10.1109/ic3i61595.2024.10829319","title":"Hate Speech Detection using MLP and Random Forest","display_name":"Hate Speech Detection using MLP and Random Forest","publication_year":2024,"publication_date":"2024-09-18","ids":{"openalex":"https://openalex.org/W4406417349","doi":"https://doi.org/10.1109/ic3i61595.2024.10829319"},"language":"en","primary_location":{"id":"doi:10.1109/ic3i61595.2024.10829319","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ic3i61595.2024.10829319","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 7th International Conference on Contemporary Computing and Informatics (IC3I)","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":null,"display_name":"Richa Sharma","orcid":null},"institutions":[{"id":"https://openalex.org/I110360157","display_name":"Lovely Professional University","ror":"https://ror.org/00et6q107","country_code":"IN","type":"education","lineage":["https://openalex.org/I110360157"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Richa Sharma","raw_affiliation_strings":["Lovely Professional University,School of Computer Science and Engineering,Phagwara,Punjab,India"],"affiliations":[{"raw_affiliation_string":"Lovely Professional University,School of Computer Science and Engineering,Phagwara,Punjab,India","institution_ids":["https://openalex.org/I110360157"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088159952","display_name":"Kiranpreet Kaur","orcid":"https://orcid.org/0000-0003-3592-0061"},"institutions":[{"id":"https://openalex.org/I110360157","display_name":"Lovely Professional University","ror":"https://ror.org/00et6q107","country_code":"IN","type":"education","lineage":["https://openalex.org/I110360157"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Kiranpreet Kaur","raw_affiliation_strings":["Lovely Professional University,School of Computer Science and Engineering,Phagwara,Punjab,India"],"affiliations":[{"raw_affiliation_string":"Lovely Professional University,School of Computer Science and Engineering,Phagwara,Punjab,India","institution_ids":["https://openalex.org/I110360157"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I110360157"],"apc_list":null,"apc_paid":null,"fwci":0.3345,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.69744428,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"91","last_page":"96"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12262","display_name":"Hate Speech and Cyberbullying Detection","score":0.9998000264167786,"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":0.9998000264167786,"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/computer-science","display_name":"Computer science","score":0.7312816381454468},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.7210345268249512},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.510670006275177},{"id":"https://openalex.org/keywords/voice-activity-detection","display_name":"Voice activity detection","score":0.44824087619781494},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37204813957214355},{"id":"https://openalex.org/keywords/speech-processing","display_name":"Speech processing","score":0.26298028230667114}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7312816381454468},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.7210345268249512},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.510670006275177},{"id":"https://openalex.org/C204201278","wikidata":"https://www.wikidata.org/wiki/Q1332614","display_name":"Voice activity detection","level":3,"score":0.44824087619781494},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37204813957214355},{"id":"https://openalex.org/C61328038","wikidata":"https://www.wikidata.org/wiki/Q3358061","display_name":"Speech processing","level":2,"score":0.26298028230667114}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ic3i61595.2024.10829319","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ic3i61595.2024.10829319","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 7th International Conference on Contemporary Computing and Informatics (IC3I)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.4300000071525574,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W2595653137","https://openalex.org/W2792441346","https://openalex.org/W3002328683","https://openalex.org/W3002426859","https://openalex.org/W3034952185","https://openalex.org/W3105113320","https://openalex.org/W3111222606","https://openalex.org/W3172414534","https://openalex.org/W3176045400","https://openalex.org/W3184161195","https://openalex.org/W3187277406","https://openalex.org/W3189374329","https://openalex.org/W3192549639","https://openalex.org/W4205415902","https://openalex.org/W4205481031","https://openalex.org/W4205951200","https://openalex.org/W4285412986","https://openalex.org/W4312546421","https://openalex.org/W4312894902","https://openalex.org/W4382301295","https://openalex.org/W4400315442","https://openalex.org/W6797934367"],"related_works":["https://openalex.org/W191108438","https://openalex.org/W3135230428","https://openalex.org/W2904739811","https://openalex.org/W249088392","https://openalex.org/W2152158029","https://openalex.org/W2012540220","https://openalex.org/W2131711534","https://openalex.org/W2559837139","https://openalex.org/W1151175420","https://openalex.org/W2407342067"],"abstract_inverted_index":{"Social":[0],"media":[1,55,158,200,283],"platforms":[2],"are":[3,27,113,121,258],"essential":[4],"parts":[5],"of":[6,13,49,53,97,206,224,288],"today\u2019s":[7],"communication":[8],"because":[9],"they":[10],"help":[11],"people":[12],"different":[14],"countries":[15,130],"to":[16,21,41,137,145,220,277],"exchange":[17],"information.":[18],"However,":[19],"due":[20],"the":[22,45,50,95,105,198,211,218,274,289,295],"fact":[23],"that":[24,71,255],"these":[25],"venues":[26],"unmonitored,":[28],"hate":[29,195,225,261,279],"speech":[30,196,262,280],"has":[31],"risen":[32],"and":[33,44,62,81,89,102,111,123,141,144,163,170,186,216,229,245,269,284,291],"this":[34,177],"is":[35,69,250],"a":[36,135,172,204],"problem":[37],"for":[38,189,285,294],"both":[39,59],"those":[40],"meet":[42],"online":[43],"general":[46,286],"society.":[47,106],"Because":[48],"excessive":[51],"involvement":[52],"social":[54,78,154,157,199,282],"in":[56,60,74,104,197],"society,":[57],"racisms":[58],"old":[61],"new":[63],"form":[64],"have":[65],"been":[66],"observed.":[67],"It":[68,83],"discovered":[70],"racism":[72],"exists":[73],"several":[75],"forms":[76],"on":[77,126,153,174,239,264,281],"media,":[79,155],"explicit":[80],"implicit.":[82],"can":[84],"be":[85,160,167],"observed":[86],"by":[87,92],"memes,":[88],"posting":[90],"statements":[91,125],"racists":[93],"with":[94,116],"intention":[96],"inciting":[98],"hatred,":[99],"violence,":[100],"terrorism":[101],"fear":[103],"Even":[107],"though":[108],"racial":[109],"prejudice":[110],"discrimination":[112],"often":[114],"associated":[115],"such":[117,266],"expression":[118],"still,":[119],"there":[120],"indefinite":[122],"insulting":[124],"race,":[127],"gender.":[128],"Many":[129],"regard":[131],"sexual":[132],"orientation":[133],"as":[134,191,193,267],"threat":[136],"their":[138],"political,":[139],"social,":[140],"cultural":[142],"stability,":[143],"international":[146],"security.":[147],"The":[148],"racist":[149,164],"ideas":[150],"propagate":[151],"fast":[152],"therefore":[156],"must":[159,166],"closely":[161],"monitored,":[162],"remarks":[165],"promptly":[168],"seen":[169],"set":[171],"ban":[173],"it.":[175],"In":[176],"work,":[178],"we":[179,209],"present":[180],"an":[181],"approach":[182],"involving":[183],"deep":[184,235],"learning":[185,188,236,247],"machine":[187,246],"classifying":[190],"well":[192],"detecting":[194],"platforms.":[201],"By":[202],"utilizing":[203],"dataset":[205],"labelled":[207],"tweets":[208],"preprocess":[210],"data,":[212],"extract":[213],"relevant":[214],"characteristics,":[215],"train":[217],"model":[219],"categorize":[221],"particular":[222],"samples":[223],"speech,":[226],"offensive":[227],"language,":[228],"neutral":[230],"content.":[231],"We":[232,253],"apply":[233],"state-of-the-art":[234],"methodology":[237],"based":[238,263],"multilayer":[240],"perceptron":[241],"(MLP)":[242],"neural":[243],"networks,":[244],"technique":[248],"which":[249],"random":[251],"forest.":[252],"demonstrate":[254],"our":[256],"algorithms":[257],"properly":[259],"recognizing":[260],"parameters":[265],"accuracy":[268],"loss.":[270],"This":[271],"study":[272],"supports":[273],"continuous":[275],"efforts":[276],"prevent":[278],"development":[287],"safer":[290],"secure":[292],"environment":[293],"consumers.":[296]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-10T00:00:00"}
