{"id":"https://openalex.org/W3173348482","doi":"https://doi.org/10.1109/jiot.2021.3093065","title":"Zero-Shot Text Classification via Knowledge Graph Embedding for Social Media Data","display_name":"Zero-Shot Text Classification via Knowledge Graph Embedding for Social Media Data","publication_year":2021,"publication_date":"2021-06-29","ids":{"openalex":"https://openalex.org/W3173348482","doi":"https://doi.org/10.1109/jiot.2021.3093065","mag":"3173348482"},"language":"en","primary_location":{"id":"doi:10.1109/jiot.2021.3093065","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2021.3093065","pdf_url":null,"source":{"id":"https://openalex.org/S2480266640","display_name":"IEEE Internet of Things Journal","issn_l":"2327-4662","issn":["2327-4662","2372-2541"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Internet of Things Journal","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/A5100340184","display_name":"Qi Chen","orcid":"https://orcid.org/0000-0002-7430-1645"},"institutions":[{"id":"https://openalex.org/I69356397","display_name":"Xi\u2019an Jiaotong-Liverpool University","ror":"https://ror.org/03zmrmn05","country_code":"CN","type":"education","lineage":["https://openalex.org/I69356397"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qi Chen","raw_affiliation_strings":["School of Advanced Technology, Xi’an Jiaotong-Liverpool University, Suzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Advanced Technology, Xi’an Jiaotong-Liverpool University, Suzhou, China","institution_ids":["https://openalex.org/I69356397"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100391855","display_name":"Wei Wang","orcid":"https://orcid.org/0000-0002-0707-8076"},"institutions":[{"id":"https://openalex.org/I69356397","display_name":"Xi\u2019an Jiaotong-Liverpool University","ror":"https://ror.org/03zmrmn05","country_code":"CN","type":"education","lineage":["https://openalex.org/I69356397"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Wang","raw_affiliation_strings":["School of Advanced Technology, Xi’an Jiaotong-Liverpool University, Suzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Advanced Technology, Xi’an Jiaotong-Liverpool University, Suzhou, China","institution_ids":["https://openalex.org/I69356397"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026022035","display_name":"Kaizhu Huang","orcid":"https://orcid.org/0000-0002-3034-9639"},"institutions":[{"id":"https://openalex.org/I69356397","display_name":"Xi\u2019an Jiaotong-Liverpool University","ror":"https://ror.org/03zmrmn05","country_code":"CN","type":"education","lineage":["https://openalex.org/I69356397"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kaizhu Huang","raw_affiliation_strings":["School of Advanced Technology, Xi’an Jiaotong-Liverpool University, Suzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Advanced Technology, Xi’an Jiaotong-Liverpool University, Suzhou, China","institution_ids":["https://openalex.org/I69356397"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073606016","display_name":"Frans Coenen","orcid":"https://orcid.org/0000-0003-1026-6649"},"institutions":[{"id":"https://openalex.org/I146655781","display_name":"University of Liverpool","ror":"https://ror.org/04xs57h96","country_code":"GB","type":"education","lineage":["https://openalex.org/I146655781"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Frans Coenen","raw_affiliation_strings":["Department of Computer Science, University of Liverpool, Liverpool, U.K"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Liverpool, Liverpool, U.K","institution_ids":["https://openalex.org/I146655781"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100340184"],"corresponding_institution_ids":["https://openalex.org/I69356397"],"apc_list":null,"apc_paid":null,"fwci":5.0682,"has_fulltext":false,"cited_by_count":51,"citation_normalized_percentile":{"value":0.96023996,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"9","issue":"12","first_page":"9205","last_page":"9213"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9998000264167786,"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/T10028","display_name":"Topic Modeling","score":0.9998000264167786,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9991000294685364,"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9969000220298767,"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":0.7667392492294312},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.5728830695152283},{"id":"https://openalex.org/keywords/knowledge-graph","display_name":"Knowledge graph","score":0.570037305355072},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.5056602954864502},{"id":"https://openalex.org/keywords/zero-knowledge-proof","display_name":"Zero-knowledge proof","score":0.4696741998195648},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4335181713104248},{"id":"https://openalex.org/keywords/graph-theory","display_name":"Graph theory","score":0.4281117618083954},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.42091360688209534},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.34870991110801697},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.32005709409713745},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.20024746656417847},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.1743723750114441},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15349748730659485},{"id":"https://openalex.org/keywords/cryptography","display_name":"Cryptography","score":0.14129525423049927},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.09555870294570923}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7667392492294312},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.5728830695152283},{"id":"https://openalex.org/C2987255567","wikidata":"https://www.wikidata.org/wiki/Q33002955","display_name":"Knowledge graph","level":2,"score":0.570037305355072},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.5056602954864502},{"id":"https://openalex.org/C176329583","wikidata":"https://www.wikidata.org/wiki/Q191943","display_name":"Zero-knowledge proof","level":3,"score":0.4696741998195648},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4335181713104248},{"id":"https://openalex.org/C88230418","wikidata":"https://www.wikidata.org/wiki/Q131476","display_name":"Graph theory","level":2,"score":0.4281117618083954},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42091360688209534},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.34870991110801697},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.32005709409713745},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.20024746656417847},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.1743723750114441},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15349748730659485},{"id":"https://openalex.org/C178489894","wikidata":"https://www.wikidata.org/wiki/Q8789","display_name":"Cryptography","level":2,"score":0.14129525423049927},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.09555870294570923}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jiot.2021.3093065","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2021.3093065","pdf_url":null,"source":{"id":"https://openalex.org/S2480266640","display_name":"IEEE Internet of Things Journal","issn_l":"2327-4662","issn":["2327-4662","2372-2541"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Internet of Things Journal","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","score":0.7300000190734863,"display_name":"Climate action"}],"awards":[{"id":"https://openalex.org/G2456155595","display_name":null,"funder_award_id":"61876155","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G768766994","display_name":null,"funder_award_id":"BE2020006-4B","funder_id":"https://openalex.org/F4320322769","funder_display_name":"Natural Science Foundation of Jiangsu Province"},{"id":"https://openalex.org/G7917660278","display_name":null,"funder_award_id":"BK20181189","funder_id":"https://openalex.org/F4320322769","funder_display_name":"Natural Science Foundation of Jiangsu Province"}],"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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":47,"referenced_works":["https://openalex.org/W1503259811","https://openalex.org/W1552847225","https://openalex.org/W1614298861","https://openalex.org/W1840435438","https://openalex.org/W1895577753","https://openalex.org/W2129079462","https://openalex.org/W2154851992","https://openalex.org/W2167929175","https://openalex.org/W2250539671","https://openalex.org/W2251743902","https://openalex.org/W2393319904","https://openalex.org/W2402454488","https://openalex.org/W2522009427","https://openalex.org/W2550821151","https://openalex.org/W2561529111","https://openalex.org/W2604272474","https://openalex.org/W2739351760","https://openalex.org/W2777746208","https://openalex.org/W2788408359","https://openalex.org/W2896443452","https://openalex.org/W2896457183","https://openalex.org/W2940979366","https://openalex.org/W2953356739","https://openalex.org/W2953958347","https://openalex.org/W2962707464","https://openalex.org/W2962739339","https://openalex.org/W2962756421","https://openalex.org/W2963846996","https://openalex.org/W2964015378","https://openalex.org/W2964022985","https://openalex.org/W2964086552","https://openalex.org/W2964236337","https://openalex.org/W2965373594","https://openalex.org/W2970200208","https://openalex.org/W2970641574","https://openalex.org/W2996451395","https://openalex.org/W2998385486","https://openalex.org/W3007912973","https://openalex.org/W3033939743","https://openalex.org/W3034999214","https://openalex.org/W3088196840","https://openalex.org/W3104033643","https://openalex.org/W3104097132","https://openalex.org/W3151142710","https://openalex.org/W4385682194","https://openalex.org/W6639480849","https://openalex.org/W6682691769"],"related_works":["https://openalex.org/W2604454537","https://openalex.org/W2883748392","https://openalex.org/W2808284704","https://openalex.org/W2897702399","https://openalex.org/W4206028705","https://openalex.org/W2757431232","https://openalex.org/W2954554213","https://openalex.org/W2251363251","https://openalex.org/W4206547516","https://openalex.org/W4293236197"],"abstract_inverted_index":{"The":[0],"idea":[1],"of":[2,14,19,93,108,147,175,182,186],"\u201ccitizen":[3],"sensing\u201d":[4],"and":[5,75,80],"\u201chuman":[6],"as":[7],"sensors\u201d":[8],"is":[9,118],"crucial":[10],"for":[11,40,111,179,222],"social":[12,33,49,63,95,187],"Internet":[13],"Things,":[15],"an":[16],"integral":[17],"part":[18],"cyber\u2013physical\u2013social":[20],"systems":[21],"(CPSSs).":[22],"Social":[23],"media":[24,96],"data,":[25,64],"which":[26,171],"can":[27],"be":[28,73],"easily":[29],"collected":[30],"from":[31,62],"the":[32,53,68,91,134,162,180,203,208],"world,":[34],"has":[35],"become":[36],"a":[37,105,166,194],"valuable":[38],"resource":[39],"research":[41],"in":[42,77,84,157],"many":[43,94],"different":[44],"disciplines,":[45],"e.g.,":[46],"crisis/disaster":[47],"assessment,":[48],"event":[50],"detection,":[51],"or":[52,59],"recent":[54],"COVID-19":[55],"analysis.":[56],"Useful":[57],"information,":[58],"knowledge":[60,149,177],"derived":[61],"could":[65,72],"better":[66],"serve":[67],"public":[69],"if":[70],"it":[71,122],"processed":[74],"analyzed":[76],"more":[78],"efficient":[79],"reliable":[81],"ways.":[82],"Advances":[83],"deep":[85,100,219],"neural":[86],"networks":[87],"have":[88],"significantly":[89,211],"improved":[90],"performance":[92,156],"analysis":[97],"tasks.":[98],"However,":[99],"learning":[101,127,169,220],"models":[102,128,142,215,221],"typically":[103],"require":[104],"large":[106,184],"amount":[107],"labeled":[109],"data":[110,117,198],"model":[112],"training,":[113],"while":[114],"most":[115],"CPSS":[116],"not":[119,144],"labeled,":[120],"making":[121],"impractical":[123],"to":[124,154,201],"build":[125],"effective":[126,173],"using":[129],"traditional":[130],"approaches.":[131],"In":[132],"addition,":[133],"current":[135],"state-of-the-art,":[136],"pretrained":[137],"natural":[138],"language":[139],"processing":[140],"(NLP)":[141],"do":[143],"make":[145],"use":[146,174],"existing":[148,176],"graphs,":[150],"thus":[151],"often":[152],"leading":[153],"unsatisfactory":[155],"real-world":[158,196],"applications.":[159],"To":[160],"address":[161],"issues,":[163],"we":[164],"propose":[165],"new":[167],"zero-shot":[168],"method":[170,210],"makes":[172],"graphs":[178],"classification":[181],"very":[183],"amounts":[185],"text":[188],"data.":[189],"Experiments":[190],"were":[191],"performed":[192],"on":[193],"large,":[195],"tweet":[197],"set":[199],"related":[200],"COVID-19,":[202],"evaluation":[204],"results":[205],"show":[206],"that":[207],"proposed":[209],"outperforms":[212],"six":[213],"baseline":[214],"implemented":[216],"with":[217],"state-of-the-art":[218],"NLP.":[223]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":11},{"year":2024,"cited_by_count":12},{"year":2023,"cited_by_count":12},{"year":2022,"cited_by_count":12}],"updated_date":"2026-04-01T17:29:45.350535","created_date":"2025-10-10T00:00:00"}