{"id":"https://openalex.org/W4291700588","doi":"https://doi.org/10.1109/icccs55155.2022.9846146","title":"TransIEA: Transformer-Baseartd Image Emotion Analysis","display_name":"TransIEA: Transformer-Baseartd Image Emotion Analysis","publication_year":2022,"publication_date":"2022-04-22","ids":{"openalex":"https://openalex.org/W4291700588","doi":"https://doi.org/10.1109/icccs55155.2022.9846146"},"language":"en","primary_location":{"id":"doi:10.1109/icccs55155.2022.9846146","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icccs55155.2022.9846146","pdf_url":null,"source":{"id":"https://openalex.org/S4363608130","display_name":"2022 7th International Conference on Computer and Communication Systems (ICCCS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 7th International Conference on Computer and Communication Systems (ICCCS)","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":"https://openalex.org/A5100353343","display_name":"Chang Liu","orcid":"https://orcid.org/0000-0002-4437-9169"},"institutions":[{"id":"https://openalex.org/I142108993","display_name":"Southwest University","ror":"https://ror.org/01kj4z117","country_code":"CN","type":"education","lineage":["https://openalex.org/I142108993"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chang Liu","raw_affiliation_strings":["Southwest University,School of Electronics and Information Engineering,Chongqing,China","School of Electronics and Information Engineering, Southwest University, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"Southwest University,School of Electronics and Information Engineering,Chongqing,China","institution_ids":["https://openalex.org/I142108993"]},{"raw_affiliation_string":"School of Electronics and Information Engineering, Southwest University, Chongqing, China","institution_ids":["https://openalex.org/I142108993"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110490436","display_name":"Shuang Zhao","orcid":null},"institutions":[{"id":"https://openalex.org/I142108993","display_name":"Southwest University","ror":"https://ror.org/01kj4z117","country_code":"CN","type":"education","lineage":["https://openalex.org/I142108993"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuang Zhao","raw_affiliation_strings":["Southwest University,School of Electronics and Information Engineering,Chongqing,China","School of Electronics and Information Engineering, Southwest University, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"Southwest University,School of Electronics and Information Engineering,Chongqing,China","institution_ids":["https://openalex.org/I142108993"]},{"raw_affiliation_string":"School of Electronics and Information Engineering, Southwest University, Chongqing, China","institution_ids":["https://openalex.org/I142108993"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063349506","display_name":"Yutong Luo","orcid":"https://orcid.org/0000-0002-9975-1853"},"institutions":[{"id":"https://openalex.org/I142108993","display_name":"Southwest University","ror":"https://ror.org/01kj4z117","country_code":"CN","type":"education","lineage":["https://openalex.org/I142108993"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yutong Luo","raw_affiliation_strings":["Southwest University,School of Electronics and Information Engineering,Chongqing,China","School of Electronics and Information Engineering, Southwest University, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"Southwest University,School of Electronics and Information Engineering,Chongqing,China","institution_ids":["https://openalex.org/I142108993"]},{"raw_affiliation_string":"School of Electronics and Information Engineering, Southwest University, Chongqing, China","institution_ids":["https://openalex.org/I142108993"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031291553","display_name":"Guangyuan Liu","orcid":"https://orcid.org/0000-0002-8058-5947"},"institutions":[{"id":"https://openalex.org/I142108993","display_name":"Southwest University","ror":"https://ror.org/01kj4z117","country_code":"CN","type":"education","lineage":["https://openalex.org/I142108993"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guangyuan Liu","raw_affiliation_strings":["Southwest University,School of Electronics and Information Engineering,Chongqing,China","School of Electronics and Information Engineering, Southwest University, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"Southwest University,School of Electronics and Information Engineering,Chongqing,China","institution_ids":["https://openalex.org/I142108993"]},{"raw_affiliation_string":"School of Electronics and Information Engineering, Southwest University, Chongqing, China","institution_ids":["https://openalex.org/I142108993"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100353343"],"corresponding_institution_ids":["https://openalex.org/I142108993"],"apc_list":null,"apc_paid":null,"fwci":0.3122,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.49975758,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"310","last_page":"313"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9986000061035156,"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":0.9986000061035156,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9896000027656555,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9886999726295471,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.8045281767845154},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.6824369430541992},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6523153781890869},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6435248851776123},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.6200108528137207},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6006525754928589},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.46738994121551514},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4309418797492981},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.42563414573669434},{"id":"https://openalex.org/keywords/emotion-recognition","display_name":"Emotion recognition","score":0.42434537410736084},{"id":"https://openalex.org/keywords/natural-language","display_name":"Natural language","score":0.41706812381744385},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.41438591480255127},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3972330689430237},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.37181708216667175},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08713632822036743}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8045281767845154},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.6824369430541992},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6523153781890869},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6435248851776123},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.6200108528137207},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6006525754928589},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.46738994121551514},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4309418797492981},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.42563414573669434},{"id":"https://openalex.org/C2777438025","wikidata":"https://www.wikidata.org/wiki/Q1339090","display_name":"Emotion recognition","level":2,"score":0.42434537410736084},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.41706812381744385},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.41438591480255127},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3972330689430237},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.37181708216667175},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08713632822036743},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icccs55155.2022.9846146","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icccs55155.2022.9846146","pdf_url":null,"source":{"id":"https://openalex.org/S4363608130","display_name":"2022 7th International Conference on Computer and Communication Systems (ICCCS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 7th International Conference on Computer and Communication Systems (ICCCS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.6299999952316284}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W2003856922","https://openalex.org/W2074356411","https://openalex.org/W2085940040","https://openalex.org/W2194775991","https://openalex.org/W2347880541","https://openalex.org/W2515036155","https://openalex.org/W2517991028","https://openalex.org/W2928165649","https://openalex.org/W2963420686","https://openalex.org/W2971765953","https://openalex.org/W3141497777","https://openalex.org/W4214893857","https://openalex.org/W4385245566","https://openalex.org/W6637373629","https://openalex.org/W6739901393","https://openalex.org/W6792072491"],"related_works":["https://openalex.org/W2548633793","https://openalex.org/W3013279174","https://openalex.org/W2941935829","https://openalex.org/W2596247554","https://openalex.org/W4301373556","https://openalex.org/W3132372214","https://openalex.org/W4224284088","https://openalex.org/W4286571989","https://openalex.org/W2765903680","https://openalex.org/W4317653575"],"abstract_inverted_index":{"The":[0,119,149],"application":[1],"of":[2,34,60,74,101,116,130,155],"the":[3,27,32,50,53,61,72,89,99,102,117,131,135,143],"so-called":[4],"Transformer":[5,75,103],"network":[6,126],"for":[7,22,108],"natural":[8,39],"language":[9,40],"sentiment":[10,41],"recognition":[11],"is":[12],"well":[13],"established.":[14],"It":[15],"contains":[16],"a":[17,85,152],"self-attentive":[18],"mechanism":[19,30],"that":[20,124],"allows":[21],"better":[23],"learning":[24],"based":[25],"on":[26,98,134,157],"context.":[28],"This":[29],"facilitates":[31],"analysis":[33,45,122],"emotional":[35],"content.":[36],"Similar":[37],"to":[38,48,63],"analysis,":[42],"image":[43,62,77,139],"emotion":[44,78,96,138],"also":[46],"needs":[47],"combine":[49],"context":[51],"in":[52,76,114],"image,":[54],"i.e.,":[55,142],"global":[56],"and":[57,146],"local":[58],"features":[59],"analyze":[64],"must":[65],"be":[66],"combined.":[67],"No":[68],"previous":[69],"studies":[70],"validated":[71],"performance":[73],"analysis.":[79],"In":[80],"this":[81,158],"study,":[82],"we":[83,92],"applied":[84],"new":[86,106],"approach.":[87],"For":[88],"first":[90],"time,":[91],"aimed":[93],"at":[94],"classifying":[95],"images":[97],"basis":[100],"network.":[104,118],"A":[105],"module":[107],"convolutional-neural-network-based":[109],"feature":[110],"extraction":[111],"was":[112],"added":[113],"front":[115],"conducted":[120],"experimental":[121],"show":[123],"our":[125],"model":[127,150],"outperforms":[128],"most":[129],"deep-learning":[132],"models":[133],"commonly":[136],"used":[137],"classification":[140,153],"dataset,":[141],"FI":[144],"(Facebook":[145],"instagram)":[147],"dataset.":[148,159],"achieves":[151],"accuracy":[154],"73.40%":[156]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}