{"id":"https://openalex.org/W4399418416","doi":"https://doi.org/10.1145/3651671.3651766","title":"An Effective Model for Aspect Category Sentiment Analysis on a Chinese Tobacco Dataset","display_name":"An Effective Model for Aspect Category Sentiment Analysis on a Chinese Tobacco Dataset","publication_year":2024,"publication_date":"2024-02-02","ids":{"openalex":"https://openalex.org/W4399418416","doi":"https://doi.org/10.1145/3651671.3651766"},"language":"en","primary_location":{"id":"doi:10.1145/3651671.3651766","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3651671.3651766","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 16th International Conference on Machine Learning and Computing","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":"Yixiang Huang","orcid":"https://orcid.org/0009-0006-5847-274X"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yixiang Huang","raw_affiliation_strings":["Beijing Key Lab of Intelligent Telecommunication Software and Multimedia, School of Computer Science, Beijing University of Posts and Telecommunications, China"],"raw_orcid":"https://orcid.org/0009-0006-5847-274X","affiliations":[{"raw_affiliation_string":"Beijing Key Lab of Intelligent Telecommunication Software and Multimedia, School of Computer Science, Beijing University of Posts and Telecommunications, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101661854","display_name":"Juan Yang","orcid":"https://orcid.org/0000-0002-0970-5328"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Juan Yang","raw_affiliation_strings":["Beijing Key Lab of Intelligent Telecommunication Software and Multimedia, School of Computer Science, Beijing University of Posts and Telecommunications, China"],"raw_orcid":"https://orcid.org/0000-0002-0970-5328","affiliations":[{"raw_affiliation_string":"Beijing Key Lab of Intelligent Telecommunication Software and Multimedia, School of Computer Science, Beijing University of Posts and Telecommunications, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001008135","display_name":"Ding Xiao","orcid":"https://orcid.org/0000-0003-0645-4436"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ding Xiao","raw_affiliation_strings":["Beijing Key Lab of Intelligent Telecommunication Software and Multimedia, School of Computer Science, Beijing University of Posts and Telecommunications, China"],"raw_orcid":"https://orcid.org/0000-0003-0645-4436","affiliations":[{"raw_affiliation_string":"Beijing Key Lab of Intelligent Telecommunication Software and Multimedia, School of Computer Science, Beijing University of Posts and Telecommunications, China","institution_ids":["https://openalex.org/I139759216"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I139759216"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.06230413,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"568","last_page":"573"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9998999834060669,"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":0.9998999834060669,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9664000272750854,"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":0.9642999768257141,"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/sentiment-analysis","display_name":"Sentiment analysis","score":0.8020696640014648},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7526943683624268},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5702027678489685},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5398217439651489},{"id":"https://openalex.org/keywords/voting","display_name":"Voting","score":0.5356741547584534},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.523715078830719},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.46289366483688354},{"id":"https://openalex.org/keywords/scarcity","display_name":"Scarcity","score":0.46106016635894775},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4582499861717224},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4562697112560272},{"id":"https://openalex.org/keywords/majority-rule","display_name":"Majority rule","score":0.43416067957878113},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.352258563041687},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.15058419108390808},{"id":"https://openalex.org/keywords/political-science","display_name":"Political science","score":0.07220786809921265}],"concepts":[{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.8020696640014648},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7526943683624268},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5702027678489685},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5398217439651489},{"id":"https://openalex.org/C520049643","wikidata":"https://www.wikidata.org/wiki/Q189760","display_name":"Voting","level":3,"score":0.5356741547584534},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.523715078830719},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.46289366483688354},{"id":"https://openalex.org/C109747225","wikidata":"https://www.wikidata.org/wiki/Q815758","display_name":"Scarcity","level":2,"score":0.46106016635894775},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4582499861717224},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4562697112560272},{"id":"https://openalex.org/C153668964","wikidata":"https://www.wikidata.org/wiki/Q27636","display_name":"Majority rule","level":2,"score":0.43416067957878113},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.352258563041687},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.15058419108390808},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.07220786809921265},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","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},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C175444787","wikidata":"https://www.wikidata.org/wiki/Q39072","display_name":"Microeconomics","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3651671.3651766","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3651671.3651766","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 16th International Conference on Machine Learning and Computing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","score":0.6899999976158142,"display_name":"Good health and well-being"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1974852977","https://openalex.org/W2251648804","https://openalex.org/W2252057809","https://openalex.org/W2562607067","https://openalex.org/W2605145284","https://openalex.org/W2889191048","https://openalex.org/W2890667869","https://openalex.org/W2908378553","https://openalex.org/W2909810581","https://openalex.org/W2914278227","https://openalex.org/W2923978210","https://openalex.org/W2949922292","https://openalex.org/W2962808042","https://openalex.org/W2964288660","https://openalex.org/W2971014768","https://openalex.org/W3106213915","https://openalex.org/W3206646281","https://openalex.org/W4288089799","https://openalex.org/W6611801733","https://openalex.org/W6702248584","https://openalex.org/W6769627184","https://openalex.org/W6948051760"],"related_works":["https://openalex.org/W1571141552","https://openalex.org/W4391636338","https://openalex.org/W2548633793","https://openalex.org/W3121841074","https://openalex.org/W2055572829","https://openalex.org/W3036613766","https://openalex.org/W1894159578","https://openalex.org/W2807400035","https://openalex.org/W4297796115","https://openalex.org/W3125086856"],"abstract_inverted_index":{"Sentiment":[0],"analysis":[1,100,105],"of":[2,21,26,85,139],"user":[3],"reviews":[4],"has":[5],"attracted":[6],"increasing":[7],"research":[8,27,46,94],"attention":[9],"due":[10],"to":[11,34,111,121],"its":[12],"great":[13],"underlying":[14],"value":[15],"for":[16],"business.":[17],"With":[18],"the":[19,24,83,86,93,96,124,129,137,144,156,162,169],"scarcity":[20],"public":[22,157],"datasets,":[23],"majority":[25],"is":[28,107],"done":[29],"on":[30,92,151,168],"datasets":[31],"with":[32],"respect":[33],"social":[35],"media":[36],"and":[37,43,79,98,143,155],"restaurants.":[38],"To":[39],"address":[40],"this":[41],"problem":[42],"advance":[44],"relevant":[45],"in":[47,64,95,147],"more":[48],"fields,":[49],"we":[50,70,80,127],"present":[51],"a":[52,60,117],"large-scale":[53],"Chinese":[54],"tobacco":[55,62,97],"review":[56,73],"dataset":[57,87,154,159],"collected":[58],"from":[59,74],"leading":[61],"forum":[63],"China.":[65],"Besides":[66],"an":[67,108],"overall":[68],"rating,":[69],"annotate":[71],"each":[72],"6":[75],"different":[76],"pre-defined":[77],"aspects":[78],"hope":[81],"that":[82,161],"release":[84],"could":[88],"shed":[89],"some":[90],"light":[91],"sentiment":[99,104,114],"field.":[101],"Aspect":[102],"category":[103],"(ACSA)":[106],"essential":[109],"task":[110],"detect":[112],"fine-grained":[113],"polarities":[115],"within":[116],"text.":[118],"In":[119],"order":[120],"further":[122],"facilitate":[123],"ACSA":[125,170],"research,":[126],"propose":[128],"intuitive":[130],"yet":[131],"effective":[132],"TVBART":[133],"model":[134,164],"which":[135],"combines":[136],"strengths":[138],"recent":[140],"NLP":[141],"advances":[142],"voting":[145],"method":[146],"ensemble":[148],"learning.":[149],"Experiments":[150],"our":[152],"new":[153],"ASAP":[158],"reveal":[160],"proposed":[163],"outperforms":[165],"state-of-the-art":[166],"baselines":[167],"task.":[171]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
