{"id":"https://openalex.org/W4389247826","doi":"https://doi.org/10.3233/jifs-224217","title":"Infusing external knowledge into user stance detection in social platforms","display_name":"Infusing external knowledge into user stance detection in social platforms","publication_year":2023,"publication_date":"2023-12-01","ids":{"openalex":"https://openalex.org/W4389247826","doi":"https://doi.org/10.3233/jifs-224217"},"language":"en","primary_location":{"id":"doi:10.3233/jifs-224217","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-224217","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent &amp; Fuzzy Systems","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/A5100322185","display_name":"Chen Liu","orcid":"https://orcid.org/0000-0002-9447-6370"},"institutions":[{"id":"https://openalex.org/I148128674","display_name":"University of Shanghai for Science and Technology","ror":"https://ror.org/00ay9v204","country_code":"CN","type":"education","lineage":["https://openalex.org/I148128674"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chen Liu","raw_affiliation_strings":["Business School, University of Shanghai for Science and Technology, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Business School, University of Shanghai for Science and Technology, Shanghai, China","institution_ids":["https://openalex.org/I148128674"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109378792","display_name":"Kexin Zhou","orcid":null},"institutions":[{"id":"https://openalex.org/I148128674","display_name":"University of Shanghai for Science and Technology","ror":"https://ror.org/00ay9v204","country_code":"CN","type":"education","lineage":["https://openalex.org/I148128674"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kexin Zhou","raw_affiliation_strings":["Business School, University of Shanghai for Science and Technology, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Business School, University of Shanghai for Science and Technology, Shanghai, China","institution_ids":["https://openalex.org/I148128674"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050615437","display_name":"Lixin Zhou","orcid":"https://orcid.org/0000-0002-9362-8117"},"institutions":[{"id":"https://openalex.org/I148128674","display_name":"University of Shanghai for Science and Technology","ror":"https://ror.org/00ay9v204","country_code":"CN","type":"education","lineage":["https://openalex.org/I148128674"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lixin Zhou","raw_affiliation_strings":["Business School, University of Shanghai for Science and Technology, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Business School, University of Shanghai for Science and Technology, Shanghai, China","institution_ids":["https://openalex.org/I148128674"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5050615437"],"corresponding_institution_ids":["https://openalex.org/I148128674"],"apc_list":null,"apc_paid":null,"fwci":0.3503,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.66975785,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":"46","issue":"1","first_page":"2161","last_page":"2177"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9995999932289124,"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":0.9995999932289124,"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9976000189781189,"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":0.7924078106880188},{"id":"https://openalex.org/keywords/pagerank","display_name":"PageRank","score":0.6409186124801636},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5643191337585449},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5400986671447754},{"id":"https://openalex.org/keywords/knowledge-graph","display_name":"Knowledge graph","score":0.5230675339698792},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5027289390563965},{"id":"https://openalex.org/keywords/macro","display_name":"Macro","score":0.41393378376960754},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3988010287284851},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.39701181650161743},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.378547728061676},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.34047427773475647},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.09318268299102783},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.07493004202842712}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7924078106880188},{"id":"https://openalex.org/C2779172887","wikidata":"https://www.wikidata.org/wiki/Q184316","display_name":"PageRank","level":2,"score":0.6409186124801636},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5643191337585449},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5400986671447754},{"id":"https://openalex.org/C2987255567","wikidata":"https://www.wikidata.org/wiki/Q33002955","display_name":"Knowledge graph","level":2,"score":0.5230675339698792},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5027289390563965},{"id":"https://openalex.org/C166955791","wikidata":"https://www.wikidata.org/wiki/Q629579","display_name":"Macro","level":2,"score":0.41393378376960754},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3988010287284851},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.39701181650161743},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.378547728061676},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.34047427773475647},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.09318268299102783},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.07493004202842712},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/jifs-224217","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-224217","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent &amp; Fuzzy Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.699999988079071}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W2945928904","https://openalex.org/W2963847405","https://openalex.org/W2996367417","https://openalex.org/W2998231212","https://openalex.org/W3013466528","https://openalex.org/W3033317208","https://openalex.org/W3152893301","https://openalex.org/W4220808645","https://openalex.org/W4292382556","https://openalex.org/W6769458276"],"related_works":["https://openalex.org/W2106626222","https://openalex.org/W2980866815","https://openalex.org/W1562405179","https://openalex.org/W2030816003","https://openalex.org/W2125493559","https://openalex.org/W1544909909","https://openalex.org/W2002053721","https://openalex.org/W2378211422","https://openalex.org/W2001641889","https://openalex.org/W2310552679"],"abstract_inverted_index":{"Stance":[0],"detection":[1,124,189],"for":[2,71],"user":[3],"reviews":[4,15,119,142,178],"on":[5,23],"social":[6],"platforms":[7],"aims":[8],"to":[9,46,56,82,92,113,136,143,162],"classify":[10],"the":[11,24,33,38,47,64,83,88,94,104,115,122,138,145,153,171,183,187],"stance":[12,72,123,188],"of":[13,28,50,118,147,177],"users\u2019":[14],"toward":[16],"a":[17,57,129],"specific":[18],"topic.":[19],"Existing":[20],"studies":[21],"focused":[22],"internal":[25],"semantic":[26],"features":[27,117,173],"reviews\u2019":[29],"texts,":[30],"but":[31],"ignored":[32],"external":[34,43,65,77,97,100,181],"knowledge":[35,44,58,66,78,101],"associated":[36],"with":[37],"review.":[39],"This":[40],"paper":[41,62,86,127],"retrieves":[42],"related":[45],"key":[48],"information":[49,140,176],"each":[51],"review":[52],"by":[53,107],"mapping":[54],"it":[55],"graph.":[59],"Thereafter,":[60],"this":[61,85,126,167],"infuses":[63],"into":[67],"deep":[68],"learning":[69],"model":[70,154,184],"detection.":[73],"Considering":[74],"that":[75,152],"infusing":[76],"may":[79],"bring":[80],"noise":[81],"model,":[84,125],"adopts":[87],"personalized":[89],"PageRank":[90],"method":[91],"filter":[93],"introduced":[95],"irrelevant":[96],"knowledge.":[98,110],"Infusing":[99],"can":[102],"improve":[103],"classification":[105],"performance":[106],"providing":[108],"background":[109],"In":[111],"addition":[112],"considering":[114],"textual":[116,172],"when":[120],"constructing":[121],"employs":[128],"gated":[130],"graph":[131],"neural":[132],"network":[133],"(GGNN)":[134],"approach":[135],"fuse":[137],"structural":[139,175],"between":[141],"capture":[144],"interactions":[146],"reviews.":[148],"The":[149],"experiments":[150],"show":[151],"improves":[155,186],"1.5%":[156],"\u20136.9%":[157],"in":[158,166],"macro-average":[159],"scores":[160],"compared":[161],"six":[163],"benchmark":[164],"models":[165],"paper.":[168],"By":[169],"combining":[170],"and":[174,179],"introducing":[180],"knowledge,":[182],"effectively":[185],"performance.":[190]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
