{"id":"https://openalex.org/W4402353728","doi":"https://doi.org/10.1109/ijcnn60899.2024.10650500","title":"Leveraging Domain-Specific Word Embedding and Hate Concepts in Hate Speech Detection","display_name":"Leveraging Domain-Specific Word Embedding and Hate Concepts in Hate Speech Detection","publication_year":2024,"publication_date":"2024-06-30","ids":{"openalex":"https://openalex.org/W4402353728","doi":"https://doi.org/10.1109/ijcnn60899.2024.10650500"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn60899.2024.10650500","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn60899.2024.10650500","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Joint Conference on Neural Networks (IJCNN)","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/A5057091775","display_name":"Xiaodong Wu","orcid":"https://orcid.org/0000-0003-3545-9930"},"institutions":[{"id":"https://openalex.org/I37987034","display_name":"Guangzhou University","ror":"https://ror.org/05ar8rn06","country_code":"CN","type":"education","lineage":["https://openalex.org/I37987034"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiaodong Wu","raw_affiliation_strings":["Guangzhou University,School of Computer Science and Cyber Engineering,Guangzhou,China"],"affiliations":[{"raw_affiliation_string":"Guangzhou University,School of Computer Science and Cyber Engineering,Guangzhou,China","institution_ids":["https://openalex.org/I37987034"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114246634","display_name":"Hao Wu","orcid":"https://orcid.org/0000-0003-0518-9511"},"institutions":[{"id":"https://openalex.org/I37987034","display_name":"Guangzhou University","ror":"https://ror.org/05ar8rn06","country_code":"CN","type":"education","lineage":["https://openalex.org/I37987034"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Wu","raw_affiliation_strings":["Guangzhou University,School of Computer Science and Cyber Engineering,Guangzhou,China"],"affiliations":[{"raw_affiliation_string":"Guangzhou University,School of Computer Science and Cyber Engineering,Guangzhou,China","institution_ids":["https://openalex.org/I37987034"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034822260","display_name":"Pei He","orcid":"https://orcid.org/0000-0003-1099-1525"},"institutions":[{"id":"https://openalex.org/I37987034","display_name":"Guangzhou University","ror":"https://ror.org/05ar8rn06","country_code":"CN","type":"education","lineage":["https://openalex.org/I37987034"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pei He","raw_affiliation_strings":["Guangzhou University,School of Computer Science and Cyber Engineering,Guangzhou,China"],"affiliations":[{"raw_affiliation_string":"Guangzhou University,School of Computer Science and Cyber Engineering,Guangzhou,China","institution_ids":["https://openalex.org/I37987034"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5057091775"],"corresponding_institution_ids":["https://openalex.org/I37987034"],"apc_list":null,"apc_paid":null,"fwci":0.3862,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.6685058,"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":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12262","display_name":"Hate Speech and Cyberbullying Detection","score":1.0,"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":1.0,"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":0.7392143607139587},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.6199625730514526},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.5669368505477905},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.55134516954422},{"id":"https://openalex.org/keywords/word-embedding","display_name":"Word embedding","score":0.49861621856689453},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4762437641620636},{"id":"https://openalex.org/keywords/voice-activity-detection","display_name":"Voice activity detection","score":0.4481998383998871},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4426160454750061},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3532761037349701},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.25648796558380127},{"id":"https://openalex.org/keywords/speech-processing","display_name":"Speech processing","score":0.16988331079483032},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.0743873119354248}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7392143607139587},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.6199625730514526},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.5669368505477905},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.55134516954422},{"id":"https://openalex.org/C2777462759","wikidata":"https://www.wikidata.org/wiki/Q18395344","display_name":"Word embedding","level":3,"score":0.49861621856689453},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4762437641620636},{"id":"https://openalex.org/C204201278","wikidata":"https://www.wikidata.org/wiki/Q1332614","display_name":"Voice activity detection","level":3,"score":0.4481998383998871},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4426160454750061},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3532761037349701},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.25648796558380127},{"id":"https://openalex.org/C61328038","wikidata":"https://www.wikidata.org/wiki/Q3358061","display_name":"Speech processing","level":2,"score":0.16988331079483032},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0743873119354248},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn60899.2024.10650500","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn60899.2024.10650500","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Gender equality","id":"https://metadata.un.org/sdg/5","score":0.49000000953674316}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W1614298861","https://openalex.org/W1997326096","https://openalex.org/W2133564696","https://openalex.org/W2250539671","https://openalex.org/W2473555522","https://openalex.org/W2595653137","https://openalex.org/W2896457183","https://openalex.org/W2901114707","https://openalex.org/W2948429981","https://openalex.org/W2962932155","https://openalex.org/W3034238904","https://openalex.org/W3049310425","https://openalex.org/W3102042387","https://openalex.org/W3104186312","https://openalex.org/W3104916697","https://openalex.org/W3119315499","https://openalex.org/W3153120079","https://openalex.org/W3164947024","https://openalex.org/W3170818115","https://openalex.org/W3173171735","https://openalex.org/W3185909895","https://openalex.org/W3201991723","https://openalex.org/W3210610489","https://openalex.org/W4200127519","https://openalex.org/W4200330236","https://openalex.org/W4210811529","https://openalex.org/W4221152721","https://openalex.org/W4282976354","https://openalex.org/W4283733223","https://openalex.org/W4285742215","https://openalex.org/W4313531555","https://openalex.org/W4328008031","https://openalex.org/W4384918448","https://openalex.org/W4385571619","https://openalex.org/W6603174692","https://openalex.org/W6636510571","https://openalex.org/W6679434410","https://openalex.org/W6755207826","https://openalex.org/W6779709467","https://openalex.org/W6801751600","https://openalex.org/W6810232308","https://openalex.org/W6854866820"],"related_works":["https://openalex.org/W947140380","https://openalex.org/W4286432911","https://openalex.org/W4230884544","https://openalex.org/W4245453790","https://openalex.org/W3194985222","https://openalex.org/W3216571906","https://openalex.org/W4214830338","https://openalex.org/W2518587255","https://openalex.org/W4287599800","https://openalex.org/W4385432812"],"abstract_inverted_index":{"Malicious":[0],"spreading":[1],"of":[2,11,39,60,147,155,172],"hate":[3,19,33,61,69,79,86,94,110,126,157],"speech":[4,34,62,80,95],"on":[5,99],"social":[6],"media":[7],"hinders":[8],"the":[9,26,36,117,139,144,152,167,170],"construction":[10],"a":[12,93],"harmonious":[13],"online":[14],"environment,":[15],"so":[16],"efficient":[17],"automatic":[18],"detection":[20,81,96,154],"become":[21],"crucial.":[22],"However,":[23],"due":[24],"to":[25,50,64,71,83,142],"short":[27],"text":[28],"form":[29],"in":[30,116],"which":[31],"most":[32],"exists,":[35],"semantic":[37,113],"features":[38],"these":[40],"texts":[41],"are":[42],"relatively":[43],"sparse,":[44],"making":[45,74],"it":[46,75,133],"difficult":[47],"for":[48,54,77],"models":[49],"learn":[51],"enough":[52],"knowledge":[53],"classification.":[55],"Additionally,":[56],"an":[57],"increasing":[58],"number":[59],"tends":[63],"use":[65],"abbreviated":[66,123],"and":[67,112,124,150,163,166],"misspelled":[68,125],"words":[70,127],"evade":[72],"detection,":[73],"challenging":[76],"many":[78],"methods":[82],"capture":[84],"hidden":[85],"intents.":[87],"In":[88],"this":[89],"paper,":[90],"we":[91],"propose":[92],"model":[97,104],"based":[98],"multi-source":[100],"feature":[101,137,148],"fusion.":[102],"The":[103],"not":[105],"only":[106],"takes":[107],"into":[108],"account":[109],"concepts":[111],"structure":[114],"information":[115],"target":[118],"sentence,":[119],"but":[120],"also":[121],"recognizes":[122],"by":[128],"introducing":[129],"domain-specific":[130],"word":[131],"embedding.Ultimately,":[132],"dynamically":[134],"fuses":[135],"multisource":[136],"through":[138],"attention":[140],"mechanism":[141],"enrich":[143],"expressive":[145],"ability":[146],"vector":[149],"realize":[151],"effective":[153],"complex":[156],"speech.":[158],"We":[159],"conduct":[160],"detailed":[161],"comparison":[162],"ablation":[164],"experiments,":[165],"results":[168],"prove":[169],"effectiveness":[171],"our":[173],"proposed":[174],"model.":[175]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-12-27T23:08:20.325037","created_date":"2025-10-10T00:00:00"}
