{"id":"https://openalex.org/W4361200101","doi":"https://doi.org/10.23919/icact56868.2023.10079261","title":"Intent Classification of Users Conversation using BERT for Conversational Dialogue System","display_name":"Intent Classification of Users Conversation using BERT for Conversational Dialogue System","publication_year":2023,"publication_date":"2023-02-19","ids":{"openalex":"https://openalex.org/W4361200101","doi":"https://doi.org/10.23919/icact56868.2023.10079261"},"language":"en","primary_location":{"id":"doi:10.23919/icact56868.2023.10079261","is_oa":false,"landing_page_url":"http://dx.doi.org/10.23919/icact56868.2023.10079261","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 25th International Conference on Advanced Communication Technology (ICACT)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5074926991","display_name":"Sabyasachi Chakraborty","orcid":"https://orcid.org/0000-0001-5356-7607"},"institutions":[{"id":"https://openalex.org/I4210117358","display_name":"Busan Medical Center","ror":"https://ror.org/02csf4f34","country_code":"KR","type":"healthcare","lineage":["https://openalex.org/I4210117358"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Sabyasachi Chakraborty","raw_affiliation_strings":["Terenz Co., Ltd,Busan,Republic of Korea","Terenz Co., Ltd, Busan, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Terenz Co., Ltd,Busan,Republic of Korea","institution_ids":["https://openalex.org/I4210117358"]},{"raw_affiliation_string":"Terenz Co., Ltd, Busan, Republic of Korea","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055736306","display_name":"Kyung Yul Ohm","orcid":null},"institutions":[{"id":"https://openalex.org/I4210095654","display_name":"Korea Pharma (South Korea)","ror":"https://ror.org/00q650071","country_code":"KR","type":"company","lineage":["https://openalex.org/I4210095654"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Kyung Yul Ohm","raw_affiliation_strings":["TLA Solution Co., Ltd,Seoul,Republic of Korea","TLA Solution Co., Ltd, Seoul, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"TLA Solution Co., Ltd,Seoul,Republic of Korea","institution_ids":["https://openalex.org/I4210095654"]},{"raw_affiliation_string":"TLA Solution Co., Ltd, Seoul, Republic of Korea","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104109467","display_name":"Hyojin Jeon","orcid":null},"institutions":[{"id":"https://openalex.org/I4210117358","display_name":"Busan Medical Center","ror":"https://ror.org/02csf4f34","country_code":"KR","type":"healthcare","lineage":["https://openalex.org/I4210117358"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hyojin Jeon","raw_affiliation_strings":["Terenz Co., Ltd,Busan,Republic of Korea","Terenz Co., Ltd, Busan, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Terenz Co., Ltd,Busan,Republic of Korea","institution_ids":["https://openalex.org/I4210117358"]},{"raw_affiliation_string":"Terenz Co., Ltd, Busan, Republic of Korea","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113822055","display_name":"Dong Hyun Kim","orcid":"https://orcid.org/0000-0002-1362-4846"},"institutions":[{"id":"https://openalex.org/I4210095654","display_name":"Korea Pharma (South Korea)","ror":"https://ror.org/00q650071","country_code":"KR","type":"company","lineage":["https://openalex.org/I4210095654"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Dong Hyun Kim","raw_affiliation_strings":["TLA Solution Co., Ltd,Seoul,Republic of Korea","TLA Solution Co., Ltd, Seoul, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"TLA Solution Co., Ltd,Seoul,Republic of Korea","institution_ids":["https://openalex.org/I4210095654"]},{"raw_affiliation_string":"TLA Solution Co., Ltd, Seoul, Republic of Korea","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5086804152","display_name":"Hyoung Jae Jin","orcid":null},"institutions":[{"id":"https://openalex.org/I4210095654","display_name":"Korea Pharma (South Korea)","ror":"https://ror.org/00q650071","country_code":"KR","type":"company","lineage":["https://openalex.org/I4210095654"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hyoung Jae Jin","raw_affiliation_strings":["TLA Solution Co., Ltd,Seoul,Republic of Korea","TLA Solution Co., Ltd, Seoul, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"TLA Solution Co., Ltd,Seoul,Republic of Korea","institution_ids":["https://openalex.org/I4210095654"]},{"raw_affiliation_string":"TLA Solution Co., Ltd, Seoul, Republic of Korea","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"65","last_page":"69"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12031","display_name":"Speech and dialogue systems","score":0.9993000030517578,"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/T12031","display_name":"Speech and dialogue systems","score":0.9993000030517578,"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":0.9990000128746033,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9979000091552734,"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":0.8057736158370972},{"id":"https://openalex.org/keywords/categorical-variable","display_name":"Categorical variable","score":0.6719653606414795},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.663128674030304},{"id":"https://openalex.org/keywords/conversation","display_name":"Conversation","score":0.6420500874519348},{"id":"https://openalex.org/keywords/microblogging","display_name":"Microblogging","score":0.6021664142608643},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.5677374601364136},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.5043753385543823},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4930975139141083},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.48521164059638977},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.470056414604187},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4439203441143036},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.43406766653060913},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4261462092399597},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3589736819267273},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.356339693069458},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.30946820974349976},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.15085971355438232},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.09716841578483582},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07674247026443481}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8057736158370972},{"id":"https://openalex.org/C5274069","wikidata":"https://www.wikidata.org/wiki/Q2285707","display_name":"Categorical variable","level":2,"score":0.6719653606414795},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.663128674030304},{"id":"https://openalex.org/C2777200299","wikidata":"https://www.wikidata.org/wiki/Q52943","display_name":"Conversation","level":2,"score":0.6420500874519348},{"id":"https://openalex.org/C143275388","wikidata":"https://www.wikidata.org/wiki/Q92438","display_name":"Microblogging","level":3,"score":0.6021664142608643},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.5677374601364136},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.5043753385543823},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4930975139141083},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.48521164059638977},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.470056414604187},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4439203441143036},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.43406766653060913},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4261462092399597},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3589736819267273},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.356339693069458},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.30946820974349976},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.15085971355438232},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.09716841578483582},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07674247026443481},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/icact56868.2023.10079261","is_oa":false,"landing_page_url":"http://dx.doi.org/10.23919/icact56868.2023.10079261","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 25th International Conference on Advanced Communication Technology (ICACT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.4300000071525574}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W2237059446","https://openalex.org/W2917128112","https://openalex.org/W2963974889","https://openalex.org/W3005085058","https://openalex.org/W3015685743","https://openalex.org/W3104078590","https://openalex.org/W4289761856","https://openalex.org/W4321608966","https://openalex.org/W6753146606","https://openalex.org/W6755207826","https://openalex.org/W6759393636"],"related_works":["https://openalex.org/W2053241453","https://openalex.org/W2017590198","https://openalex.org/W2275433313","https://openalex.org/W2978974359","https://openalex.org/W2087532526","https://openalex.org/W2728430307","https://openalex.org/W1805578373","https://openalex.org/W2036556872","https://openalex.org/W2294826400","https://openalex.org/W2089702591"],"abstract_inverted_index":{"Intent":[0,95],"Analysis":[1],"and":[2,18,36,52,120,146],"detection":[3],"are":[4,58],"currently":[5],"getting":[6],"a":[7,67],"lot":[8],"of":[9,31,45,69,103,117,122,136,153,176],"importance":[10],"for":[11,100,127,150],"their":[12],"significance":[13],"in":[14],"both":[15],"the":[16,26,39,46,101,107,115,123,128,133,137,151],"Industry":[17],"Academia.":[19],"The":[20,125,139,163],"intent":[21,62],"classification":[22,102,152],"relies":[23],"heavily":[24],"on":[25],"rapidly":[27],"expanding":[28],"unstructured":[29],"data":[30],"microblogging":[32],"networks":[33],"like":[34],"Twitter":[35],"Facebook.":[37],"However,":[38],"work":[40],"is":[41],"extremely":[42],"difficult":[43],"because":[44,55],"social":[47],"media":[48],"data\u2019s":[49],"frequent":[50],"noise":[51],"diversity.":[53],"Furthermore,":[54],"labelled":[56],"datasets":[57],"usually":[59],"manually":[60],"annotated,":[61],"analysis":[63],"frequently":[64],"suffers":[65],"from":[66,79,106,132],"lack":[68],"data.":[70],"Modern":[71],"language":[72],"representation":[73],"model":[74],"BERT":[75,99,145],"(Bidirectional":[76],"Encoder":[77],"Representation":[78],"Transformers),":[80],"which":[81,165],"accurately":[82],"models\u2019":[83],"language,":[84],"has":[85],"recently":[86],"gained":[87],"interest.":[88],"In":[89],"this":[90],"paper,":[91],"we":[92],"developed":[93,131,143],"an":[94,172],"Classification":[96,129,140],"Model":[97,141,164],"using":[98,144],"Questions":[104],"received":[105],"Users":[108],"or":[109,161],"Humans":[110],"to":[111],"specific":[112,118],"intents":[113],"regarding":[114],"usage":[116],"features":[119],"components":[121],"car.":[124],"dataset":[126],"was":[130,142,166],"Owner\u2019s":[134],"Manual":[135],"vehicles.":[138],"produced":[147],"promising":[148],"results":[149],"Real":[154],"Work":[155],"Text":[156],"into":[157],"199":[158],"different":[159],"categories":[160],"Intents.":[162],"trained":[167],"with":[168],"254,412":[169],"records":[170],"plotted":[171],"overall":[173],"categorical":[174],"accuracy":[175],"98.21%":[177]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":2}],"updated_date":"2026-07-18T07:39:51.176621","created_date":"2025-10-10T00:00:00"}