{"id":"https://openalex.org/W3215380716","doi":"https://doi.org/10.1145/3476103","title":"Multi-task Fuzzy Clustering\u2013Based Multi-task TSK Fuzzy System for Text Sentiment Classification","display_name":"Multi-task Fuzzy Clustering\u2013Based Multi-task TSK Fuzzy System for Text Sentiment Classification","publication_year":2021,"publication_date":"2021-11-18","ids":{"openalex":"https://openalex.org/W3215380716","doi":"https://doi.org/10.1145/3476103","mag":"3215380716"},"language":"en","primary_location":{"id":"doi:10.1145/3476103","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3476103","pdf_url":null,"source":{"id":"https://openalex.org/S4306421405","display_name":"ACM Transactions on Asian and Low-Resource Language Information Processing","issn_l":"2375-4699","issn":["2375-4699","2375-4702"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Asian and Low-Resource Language Information Processing","raw_type":"journal-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/A5090932123","display_name":"Xiaoqing Gu","orcid":"https://orcid.org/0000-0001-9942-0651"},"institutions":[{"id":"https://openalex.org/I4210153482","display_name":"Changzhou University","ror":"https://ror.org/04ymgwq66","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210153482"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiaoqing Gu","raw_affiliation_strings":["Changzhou University, Changzhou, China"],"affiliations":[{"raw_affiliation_string":"Changzhou University, Changzhou, China","institution_ids":["https://openalex.org/I4210153482"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057573049","display_name":"Kaijian Xia","orcid":"https://orcid.org/0000-0002-1650-9982"},"institutions":[{"id":"https://openalex.org/I3923682","display_name":"Soochow University","ror":"https://ror.org/05t8y2r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I3923682"]},{"id":"https://openalex.org/I4210125581","display_name":"Changshu No.1 People's Hospital","ror":"https://ror.org/032hk6448","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210125581"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kaijian Xia","raw_affiliation_strings":["Affiliated Changshu Hospital of Soochow University, Changshu, China"],"affiliations":[{"raw_affiliation_string":"Affiliated Changshu Hospital of Soochow University, Changshu, China","institution_ids":["https://openalex.org/I4210125581","https://openalex.org/I3923682"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073626757","display_name":"Yizhang Jiang","orcid":null},"institutions":[{"id":"https://openalex.org/I111599522","display_name":"Jiangnan University","ror":"https://ror.org/04mkzax54","country_code":"CN","type":"education","lineage":["https://openalex.org/I111599522"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yizhang Jiang","raw_affiliation_strings":["Jiangnan University, Wuxi, China"],"affiliations":[{"raw_affiliation_string":"Jiangnan University, Wuxi, China","institution_ids":["https://openalex.org/I111599522"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045461052","display_name":"Alireza Jolfaei","orcid":"https://orcid.org/0000-0001-7818-459X"},"institutions":[{"id":"https://openalex.org/I99043593","display_name":"Macquarie University","ror":"https://ror.org/01sf06y89","country_code":"AU","type":"education","lineage":["https://openalex.org/I99043593"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Alireza Jolfaei","raw_affiliation_strings":["Macquarie University, Sydney NSW, Australia"],"affiliations":[{"raw_affiliation_string":"Macquarie University, Sydney NSW, Australia","institution_ids":["https://openalex.org/I99043593"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5090932123"],"corresponding_institution_ids":["https://openalex.org/I4210153482"],"apc_list":null,"apc_paid":null,"fwci":1.0877,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.82261755,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":"21","issue":"2","first_page":"1","last_page":"24"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9994999766349792,"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":0.9994999766349792,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9944000244140625,"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/T13731","display_name":"Advanced Computing and Algorithms","score":0.9699000120162964,"subfield":{"id":"https://openalex.org/subfields/3322","display_name":"Urban Studies"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7054632902145386},{"id":"https://openalex.org/keywords/antecedent","display_name":"Antecedent (behavioral psychology)","score":0.7011964321136475},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.683236837387085},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6526365280151367},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.612966001033783},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5824770927429199},{"id":"https://openalex.org/keywords/fuzzy-clustering","display_name":"Fuzzy clustering","score":0.5655009746551514},{"id":"https://openalex.org/keywords/fuzzy-classification","display_name":"Fuzzy classification","score":0.523935854434967},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.48324665427207947},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4748126268386841},{"id":"https://openalex.org/keywords/fuzzy-cognitive-map","display_name":"Fuzzy cognitive map","score":0.42151299118995667},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.41277840733528137},{"id":"https://openalex.org/keywords/fuzzy-set-operations","display_name":"Fuzzy set operations","score":0.4106955826282501},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.40538114309310913},{"id":"https://openalex.org/keywords/fuzzy-set","display_name":"Fuzzy set","score":0.37032368779182434},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.32083627581596375},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.06606346368789673}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7054632902145386},{"id":"https://openalex.org/C2781256819","wikidata":"https://www.wikidata.org/wiki/Q16828835","display_name":"Antecedent (behavioral psychology)","level":2,"score":0.7011964321136475},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.683236837387085},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6526365280151367},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.612966001033783},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5824770927429199},{"id":"https://openalex.org/C17212007","wikidata":"https://www.wikidata.org/wiki/Q5511111","display_name":"Fuzzy clustering","level":3,"score":0.5655009746551514},{"id":"https://openalex.org/C127385683","wikidata":"https://www.wikidata.org/wiki/Q1475696","display_name":"Fuzzy classification","level":4,"score":0.523935854434967},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.48324665427207947},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4748126268386841},{"id":"https://openalex.org/C5041914","wikidata":"https://www.wikidata.org/wiki/Q5511107","display_name":"Fuzzy cognitive map","level":5,"score":0.42151299118995667},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.41277840733528137},{"id":"https://openalex.org/C148671577","wikidata":"https://www.wikidata.org/wiki/Q5511133","display_name":"Fuzzy set operations","level":4,"score":0.4106955826282501},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.40538114309310913},{"id":"https://openalex.org/C42011625","wikidata":"https://www.wikidata.org/wiki/Q1055058","display_name":"Fuzzy set","level":3,"score":0.37032368779182434},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32083627581596375},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.06606346368789673},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C138496976","wikidata":"https://www.wikidata.org/wiki/Q175002","display_name":"Developmental psychology","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3476103","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3476103","pdf_url":null,"source":{"id":"https://openalex.org/S4306421405","display_name":"ACM Transactions on Asian and Low-Resource Language Information Processing","issn_l":"2375-4699","issn":["2375-4699","2375-4702"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Asian and Low-Resource Language Information Processing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.6899999976158142,"id":"https://metadata.un.org/sdg/4"}],"awards":[{"id":"https://openalex.org/G5072572870","display_name":null,"funder_award_id":"BK 20211333","funder_id":"https://openalex.org/F4320322769","funder_display_name":"Natural Science Foundation of Jiangsu Province"},{"id":"https://openalex.org/G630076462","display_name":null,"funder_award_id":"61702225, 61806026, and 62171203","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322769","display_name":"Natural Science Foundation of Jiangsu Province","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W128638292","https://openalex.org/W1982865616","https://openalex.org/W1999996424","https://openalex.org/W2002917851","https://openalex.org/W2024000733","https://openalex.org/W2062907052","https://openalex.org/W2072858690","https://openalex.org/W2080404350","https://openalex.org/W2096707493","https://openalex.org/W2116317530","https://openalex.org/W2142904341","https://openalex.org/W2150231499","https://openalex.org/W2150675305","https://openalex.org/W2153353890","https://openalex.org/W2163302275","https://openalex.org/W2166588037","https://openalex.org/W2251648804","https://openalex.org/W2289913079","https://openalex.org/W2518659603","https://openalex.org/W2530908316","https://openalex.org/W2687524069","https://openalex.org/W2754876402","https://openalex.org/W2899754878","https://openalex.org/W2901324389","https://openalex.org/W2943360842","https://openalex.org/W2944502595","https://openalex.org/W2945797851","https://openalex.org/W2946218857","https://openalex.org/W2950577311","https://openalex.org/W2962692632","https://openalex.org/W2963155213","https://openalex.org/W2971220558","https://openalex.org/W2987864789","https://openalex.org/W3042980693","https://openalex.org/W3058992503","https://openalex.org/W3121224937","https://openalex.org/W3147042192"],"related_works":["https://openalex.org/W2184441312","https://openalex.org/W2331106272","https://openalex.org/W2253053392","https://openalex.org/W173448675","https://openalex.org/W1531033669","https://openalex.org/W1542808721","https://openalex.org/W1489009679","https://openalex.org/W2614887008","https://openalex.org/W2674573885","https://openalex.org/W1485268022"],"abstract_inverted_index":{"Text":[0],"sentiment":[1,31,54,178],"classification":[2],"is":[3,14,120,132,138,148],"an":[4],"important":[5],"technology":[6],"for":[7,18,29,52,77,86,116],"natural":[8],"language":[9],"processing.":[10],"A":[11],"fuzzy":[12,43,61,101,125,129,145,153,163],"system":[13,44,130],"a":[15,36,40,58,111,123],"strong":[16],"tool":[17],"processing":[19],"imprecise":[20],"or":[21],"ambiguous":[22],"data,":[23],"and":[24,72,106,160],"it":[25],"can":[26,49,90],"be":[27,50,91],"used":[28,51,92],"text":[30,53,177],"analysis.":[32],"This":[33],"article":[34],"proposes":[35],"new":[37],"formulation":[38],"of":[39,98,169,183],"multi-task":[41,60,99,113,124,127],"Takagi-Sugeno-Kang":[42],"(TSK":[45],"FS)":[46],"modeling,":[47],"which":[48],"image":[55],"classification.":[56],"Using":[57],"novel":[59],"c-means":[62],"clustering":[63],"algorithm,":[64],"the":[65,73,95,104,135,140,144,156,166,181,184],"common":[66,105,152],"(public)":[67],"information":[68,76,83,141,159,168],"among":[69],"all":[70],"tasks":[71],"individual":[74,107,162],"(private)":[75],"each":[78,170],"task":[79],"are":[80],"extracted.":[81],"The":[82,172],"about":[84],"clustering,":[85],"example,":[87],"cluster":[88],"centers,":[89],"to":[93],"learn":[94],"antecedent":[96,108],"parameters":[97,109,119],"TSK":[100,128],"systems.":[102],"With":[103],"obtained,":[110],"corresponding":[112],"learning":[114,117],"mechanism":[115],"consequent":[118],"devised.":[121],"Accordingly,":[122],"clustering\u2013based":[126],"(MTFCM-MT-TSK-FS)":[131],"proposed.":[133],"When":[134],"proposed":[136,185],"model":[137],"built,":[139],"conveyed":[142],"by":[143],"rules":[146,154,164],"formed":[147],"two-fold,":[149],"including":[150],"(1)":[151],"representing":[155],"inter-task":[157],"correlation":[158],"(2)":[161],"depicting":[165],"independent":[167],"task.":[171],"experimental":[173],"results":[174],"on":[175],"several":[176],"datasets":[179],"demonstrate":[180],"validity":[182],"model.":[186]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
