{"id":"https://openalex.org/W2776646997","doi":"https://doi.org/10.1109/taffc.2017.2786207","title":"Emotion Analysis for Personality Inference from EEG Signals","display_name":"Emotion Analysis for Personality Inference from EEG Signals","publication_year":2017,"publication_date":"2017-12-29","ids":{"openalex":"https://openalex.org/W2776646997","doi":"https://doi.org/10.1109/taffc.2017.2786207","mag":"2776646997"},"language":"en","primary_location":{"id":"doi:10.1109/taffc.2017.2786207","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taffc.2017.2786207","pdf_url":null,"source":{"id":"https://openalex.org/S104780363","display_name":"IEEE Transactions on Affective Computing","issn_l":"1949-3045","issn":["1949-3045","2371-9850"],"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 Transactions on Affective Computing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://purehost.bath.ac.uk/ws/files/163569666/TAC2017_ZHAO_paper.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5035187070","display_name":"Guozhen Zhao","orcid":"https://orcid.org/0000-0003-4438-5320"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guozhen Zhao","raw_affiliation_strings":["Department of Psychology, University of Chinese Academy of Sciences, Beijing, P. R. China"],"raw_orcid":"https://orcid.org/0000-0003-4438-5320","affiliations":[{"raw_affiliation_string":"Department of Psychology, University of Chinese Academy of Sciences, Beijing, P. R. China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002566778","display_name":"Yan Ge","orcid":"https://orcid.org/0000-0002-4701-6144"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan Ge","raw_affiliation_strings":["Department of Psychology, University of Chinese Academy of Sciences, Beijing, P. R. China"],"raw_orcid":"https://orcid.org/0000-0002-4701-6144","affiliations":[{"raw_affiliation_string":"Department of Psychology, University of Chinese Academy of Sciences, Beijing, P. R. China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083372566","display_name":"Biying Shen","orcid":"https://orcid.org/0000-0002-5486-2381"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Biying Shen","raw_affiliation_strings":["Department of Psychology, University of Chinese Academy of Sciences, Beijing, P. R. China"],"raw_orcid":"https://orcid.org/0000-0002-5486-2381","affiliations":[{"raw_affiliation_string":"Department of Psychology, University of Chinese Academy of Sciences, Beijing, P. R. China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079067524","display_name":"Xingjie Wei","orcid":"https://orcid.org/0000-0002-6064-7290"},"institutions":[{"id":"https://openalex.org/I51601045","display_name":"University of Bath","ror":"https://ror.org/002h8g185","country_code":"GB","type":"education","lineage":["https://openalex.org/I51601045"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Xingjie Wei","raw_affiliation_strings":["School of Management, University of Bath, Bath, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Management, University of Bath, Bath, United Kingdom","institution_ids":["https://openalex.org/I51601045"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100446090","display_name":"Hao Wang","orcid":"https://orcid.org/0000-0002-0900-5807"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Wang","raw_affiliation_strings":["State Key Laboratory of Computer Science, Chinese Academy of Sciences, Beijing, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Computer Science, Chinese Academy of Sciences, Beijing, P. R. China","institution_ids":["https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":6.0099,"has_fulltext":true,"cited_by_count":133,"citation_normalized_percentile":{"value":0.96648298,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"9","issue":"3","first_page":"362","last_page":"371"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9977999925613403,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9977999925613403,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11040","display_name":"Personality Traits and Psychology","score":0.9901999831199646,"subfield":{"id":"https://openalex.org/subfields/3203","display_name":"Clinical Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T13283","display_name":"Mental Health Research Topics","score":0.9872000217437744,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.8028778433799744},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5827818512916565},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.5754493474960327},{"id":"https://openalex.org/keywords/personality","display_name":"Personality","score":0.561738908290863},{"id":"https://openalex.org/keywords/cognitive-psychology","display_name":"Cognitive psychology","score":0.5166938304901123},{"id":"https://openalex.org/keywords/emotion-recognition","display_name":"Emotion recognition","score":0.45437878370285034},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4483911395072937},{"id":"https://openalex.org/keywords/affective-computing","display_name":"Affective computing","score":0.4195399582386017},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4077884256839752},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3742844760417938},{"id":"https://openalex.org/keywords/social-psychology","display_name":"Social psychology","score":0.2067127525806427},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.09236228466033936}],"concepts":[{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.8028778433799744},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5827818512916565},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.5754493474960327},{"id":"https://openalex.org/C187288502","wikidata":"https://www.wikidata.org/wiki/Q641118","display_name":"Personality","level":2,"score":0.561738908290863},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.5166938304901123},{"id":"https://openalex.org/C2777438025","wikidata":"https://www.wikidata.org/wiki/Q1339090","display_name":"Emotion recognition","level":2,"score":0.45437878370285034},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4483911395072937},{"id":"https://openalex.org/C6438553","wikidata":"https://www.wikidata.org/wiki/Q1185804","display_name":"Affective computing","level":2,"score":0.4195399582386017},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4077884256839752},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3742844760417938},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.2067127525806427},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.09236228466033936}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1109/taffc.2017.2786207","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taffc.2017.2786207","pdf_url":null,"source":{"id":"https://openalex.org/S104780363","display_name":"IEEE Transactions on Affective Computing","issn_l":"1949-3045","issn":["1949-3045","2371-9850"],"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 Transactions on Affective Computing","raw_type":"journal-article"},{"id":"pmh:oai:eprints.whiterose.ac.uk:140579","is_oa":false,"landing_page_url":"http://eprints.whiterose.ac.uk/140579/2/TAC2017_ZHAO_paper.pdf","pdf_url":"http://eprints.whiterose.ac.uk/140579/2/TAC2017_ZHAO_paper.pdf","source":{"id":"https://openalex.org/S4306400854","display_name":"White Rose Research Online (University of Leeds, The University of Sheffield, University of York)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I2800616092","host_organization_name":"White Rose University Consortium","host_organization_lineage":["https://openalex.org/I2800616092"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"","raw_type":"Article"},{"id":"pmh:oai:purehost.bath.ac.uk:openaire_cris_publications/859ddc50-5f34-45b4-bd1b-46b347c4fbe9","is_oa":true,"landing_page_url":"https://researchportal.bath.ac.uk/en/publications/859ddc50-5f34-45b4-bd1b-46b347c4fbe9","pdf_url":"https://purehost.bath.ac.uk/ws/files/163569666/TAC2017_ZHAO_paper.pdf","source":{"id":"https://openalex.org/S4377196294","display_name":"Pure (University of Bath)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I51601045","host_organization_name":"University of Bath","host_organization_lineage":["https://openalex.org/I51601045"],"host_organization_lineage_names":[],"type":"repository"},"license":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Zhao, G, Ge, Y, Shen, B, Wei, X & Wang, H 2017, 'Emotion Analysis for Personality Inference from EEG Signals', IEEE Transactions on Affective Computing. https://doi.org/10.1109/TAFFC.2017.2786207","raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:ir.psych.ac.cn:311026/26948","is_oa":false,"landing_page_url":"http://ir.psych.ac.cn/handle/311026/26948","pdf_url":null,"source":{"id":"https://openalex.org/S4377196583","display_name":"Institutional Repository of Institute of Psychology, Chinese Academy of Sciences (Institute of Psychology, Chinese Academy of Sciences)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210131870","host_organization_name":"Institute of Psychology, Chinese Academy of Sciences","host_organization_lineage":["https://openalex.org/I4210131870"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"\u671f\u520a\u8bba\u6587"},{"id":"pmh:oai:ir.psych.ac.cn:311026/26958","is_oa":true,"landing_page_url":"http://ir.psych.ac.cn/handle/311026/26958","pdf_url":null,"source":{"id":"https://openalex.org/S4377196583","display_name":"Institutional Repository of Institute of Psychology, Chinese Academy of Sciences (Institute of Psychology, Chinese Academy of Sciences)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210131870","host_organization_name":"Institute of Psychology, Chinese Academy of Sciences","host_organization_lineage":["https://openalex.org/I4210131870"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"\u671f\u520a\u8bba\u6587"}],"best_oa_location":{"id":"pmh:oai:purehost.bath.ac.uk:openaire_cris_publications/859ddc50-5f34-45b4-bd1b-46b347c4fbe9","is_oa":true,"landing_page_url":"https://researchportal.bath.ac.uk/en/publications/859ddc50-5f34-45b4-bd1b-46b347c4fbe9","pdf_url":"https://purehost.bath.ac.uk/ws/files/163569666/TAC2017_ZHAO_paper.pdf","source":{"id":"https://openalex.org/S4377196294","display_name":"Pure (University of Bath)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I51601045","host_organization_name":"University of Bath","host_organization_lineage":["https://openalex.org/I51601045"],"host_organization_lineage_names":[],"type":"repository"},"license":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Zhao, G, Ge, Y, Shen, B, Wei, X & Wang, H 2017, 'Emotion Analysis for Personality Inference from EEG Signals', IEEE Transactions on Affective Computing. https://doi.org/10.1109/TAFFC.2017.2786207","raw_type":"info:eu-repo/semantics/article"},"sustainable_development_goals":[{"score":0.7400000095367432,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G128157701","display_name":null,"funder_award_id":"31771226","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G162108561","display_name":null,"funder_award_id":"2017YFB0802800","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4638451248","display_name":null,"funder_award_id":"2016YFB1001200","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5764514725","display_name":"\u57fa\u4e8e\u4f4d\u7f6e\u7684\u793e\u4f1a\u5316\u7f51\u7edc\u591a\u5c3a\u5ea6\u7528\u6237\u5efa\u6a21\u65b9\u6cd5\u7814\u7a76","funder_award_id":"61672501","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"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2776646997.pdf","grobid_xml":"https://content.openalex.org/works/W2776646997.grobid-xml"},"referenced_works_count":77,"referenced_works":["https://openalex.org/W1497818229","https://openalex.org/W1641003075","https://openalex.org/W1916289657","https://openalex.org/W1966732563","https://openalex.org/W1968012964","https://openalex.org/W1974012218","https://openalex.org/W1974323253","https://openalex.org/W1983403946","https://openalex.org/W1996395010","https://openalex.org/W2002055708","https://openalex.org/W2003172080","https://openalex.org/W2013317816","https://openalex.org/W2020997493","https://openalex.org/W2027717478","https://openalex.org/W2039146121","https://openalex.org/W2043951293","https://openalex.org/W2045103094","https://openalex.org/W2048660869","https://openalex.org/W2055603681","https://openalex.org/W2055890178","https://openalex.org/W2058818389","https://openalex.org/W2064136229","https://openalex.org/W2065043907","https://openalex.org/W2066525901","https://openalex.org/W2067302347","https://openalex.org/W2077990879","https://openalex.org/W2083607783","https://openalex.org/W2087741607","https://openalex.org/W2087749919","https://openalex.org/W2088226858","https://openalex.org/W2093468479","https://openalex.org/W2093869388","https://openalex.org/W2105378609","https://openalex.org/W2110438203","https://openalex.org/W2111621157","https://openalex.org/W2112082145","https://openalex.org/W2116308679","https://openalex.org/W2121139767","https://openalex.org/W2128495200","https://openalex.org/W2131604748","https://openalex.org/W2137018799","https://openalex.org/W2140710825","https://openalex.org/W2152264416","https://openalex.org/W2152772614","https://openalex.org/W2153635508","https://openalex.org/W2154868463","https://openalex.org/W2155442383","https://openalex.org/W2159316671","https://openalex.org/W2164942343","https://openalex.org/W2165611870","https://openalex.org/W2166742466","https://openalex.org/W2167488973","https://openalex.org/W2168031754","https://openalex.org/W2168432963","https://openalex.org/W2176268448","https://openalex.org/W2285850553","https://openalex.org/W2292385715","https://openalex.org/W2332080589","https://openalex.org/W2423024114","https://openalex.org/W2547144389","https://openalex.org/W2576686289","https://openalex.org/W2580887161","https://openalex.org/W2582244108","https://openalex.org/W2735706447","https://openalex.org/W2801014085","https://openalex.org/W3104038823","https://openalex.org/W3120669575","https://openalex.org/W3156207536","https://openalex.org/W4205243614","https://openalex.org/W4233046855","https://openalex.org/W4254208326","https://openalex.org/W4256338381","https://openalex.org/W4295545751","https://openalex.org/W6636566387","https://openalex.org/W6732508302","https://openalex.org/W6741303551","https://openalex.org/W6788194643"],"related_works":["https://openalex.org/W3080495370","https://openalex.org/W4285597148","https://openalex.org/W2901531394","https://openalex.org/W1559262936","https://openalex.org/W2134707158","https://openalex.org/W4321599321","https://openalex.org/W2089809964","https://openalex.org/W2894458059","https://openalex.org/W2767348466","https://openalex.org/W2141728578"],"abstract_inverted_index":{"The":[0],"stable":[1],"relationship":[2],"between":[3,176],"personality":[4,11,23,78,154,178,191],"and":[5,43,54,64,93,122],"EEG":[6,62,194],"ensures":[7],"the":[8,68,123,139,169,173,188],"feasibility":[9],"of":[10,77,141,172,183,190,203],"inference":[12,192],"from":[13,61,143,157,193],"brain":[14,27],"activities.":[15],"In":[16],"this":[17,41],"paper,":[18],"we":[19],"recognize":[20],"an":[21],"individual's":[22],"traits":[24,155,179],"by":[25],"analyzing":[26],"waves":[28],"when":[29,97,112,131],"he":[30],"or":[31],"she":[32],"watches":[33],"emotional":[34,52],"materials.":[35],"Thirty-seven":[36],"participants":[37],"took":[38],"part":[39],"in":[40,151,180,201],"study":[42],"watched":[44],"7":[45],"standardized":[46],"film":[47,134],"clips":[48],"that":[49],"characterize":[50],"real-life":[51],"experiences":[53],"target":[55],"seven":[56],"discrete":[57],"emotions.":[58],"Features":[59],"extracted":[60],"signals":[63,195],"subjective":[65,144],"ratings":[66,145],"enter":[67],"SVM":[69],"classifier":[70],"as":[71],"inputs":[72],"to":[73,162],"predict":[74],"five":[75,153,177],"dimensions":[76],"traits.":[79],"Our":[80],"model":[81],"achieves":[82],"better":[83],"classification":[84,106,125,149,174,204],"performance":[85],"for":[86,108,127,160,165],"Extraversion":[87],"(81.08":[88],"percent),":[89,92],"Agreeableness":[90],"(86.11":[91],"Conscientiousness":[94,161],"(80.56":[95],"percent)":[96,111,130],"positive":[98,120],"emotions":[99],"are":[100,117],"elicited":[101],"than":[102,119],"negative":[103,113],"ones,":[104],"higher":[105],"accuracies":[107,175],"Neuroticism":[109],"(78.38-81.08":[110],"emotions,":[114,121],"except":[115],"disgust,":[116],"evoked":[118],"highest":[124],"accuracy":[126,150],"Openness":[128],"(83.78":[129],"a":[132],"disgusting":[133],"clip":[135],"is":[136],"presented.":[137],"Additionally,":[138],"introduction":[140],"features":[142],"increases":[146],"not":[147],"only":[148],"all":[152],"(ranging":[156],"0.43":[158],"percent":[159,164],"6.3":[163],"Neuroticism)":[166],"but":[167],"also":[168],"discriminative":[170],"power":[171],"each":[181],"category":[182],"emotion.":[184],"These":[185],"results":[186],"demonstrate":[187],"advantage":[189],"over":[196],"state-of-the-art":[197],"explicit":[198],"behavioral":[199],"indicators":[200],"terms":[202],"accuracy.":[205]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":31},{"year":2024,"cited_by_count":15},{"year":2023,"cited_by_count":24},{"year":2022,"cited_by_count":20},{"year":2021,"cited_by_count":11},{"year":2020,"cited_by_count":19},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":6}],"updated_date":"2026-08-11T07:18:39.950985","created_date":"2025-10-10T00:00:00"}