{"id":"https://openalex.org/W7091881096","doi":"https://doi.org/10.1109/tcss.2025.3608049","title":"A Benchmark of Microvideos for Public Opinion Analysis","display_name":"A Benchmark of Microvideos for Public Opinion Analysis","publication_year":2025,"publication_date":"2025-10-15","ids":{"openalex":"https://openalex.org/W7091881096","doi":"https://doi.org/10.1109/tcss.2025.3608049"},"language":"en","primary_location":{"id":"doi:10.1109/tcss.2025.3608049","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcss.2025.3608049","pdf_url":null,"source":{"id":"https://openalex.org/S2490693980","display_name":"IEEE Transactions on Computational Social Systems","issn_l":"2329-924X","issn":["2329-924X","2373-7476"],"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 Computational Social 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":null,"display_name":"Junxiao Xue","orcid":"https://orcid.org/0000-0003-1569-5362"},"institutions":[{"id":"https://openalex.org/I4210123185","display_name":"Zhejiang Lab","ror":"https://ror.org/02m2h7991","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210123185"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junxiao Xue","raw_affiliation_strings":["Research Center for Space Computing System, Zhejiang Lab, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-1569-5362","affiliations":[{"raw_affiliation_string":"Research Center for Space Computing System, Zhejiang Lab, Hangzhou, China","institution_ids":["https://openalex.org/I4210123185"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Jie Wang","orcid":"https://orcid.org/0000-0001-6376-5025"},"institutions":[{"id":"https://openalex.org/I180662265","display_name":"China Mobile (China)","ror":"https://ror.org/05gftfe97","country_code":"CN","type":"company","lineage":["https://openalex.org/I180662265"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Wang","raw_affiliation_strings":["China Mobile (Hangzhou) Information Technology Company Ltd., Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-6376-5025","affiliations":[{"raw_affiliation_string":"China Mobile (Hangzhou) Information Technology Company Ltd., Hangzhou, China","institution_ids":["https://openalex.org/I180662265"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Xiaozhen Liu","orcid":"https://orcid.org/0009-0001-0611-1911"},"institutions":[{"id":"https://openalex.org/I38877650","display_name":"Zhengzhou University","ror":"https://ror.org/04ypx8c21","country_code":"CN","type":"education","lineage":["https://openalex.org/I38877650"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaozhen Liu","raw_affiliation_strings":["School of Cyber Science and Engineering, Zhengzhou University, Zhengzhou, China"],"raw_orcid":"https://orcid.org/0009-0001-0611-1911","affiliations":[{"raw_affiliation_string":"School of Cyber Science and Engineering, Zhengzhou University, Zhengzhou, China","institution_ids":["https://openalex.org/I38877650"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Peifu Yang","orcid":"https://orcid.org/0009-0002-5161-7150"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peifu Yang","raw_affiliation_strings":["Tencent Holdings Ltd., Shenzhen, China"],"raw_orcid":"https://orcid.org/0009-0002-5161-7150","affiliations":[{"raw_affiliation_string":"Tencent Holdings Ltd., Shenzhen, China","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Xuecheng Wu","orcid":"https://orcid.org/0000-0002-6244-0269"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuecheng Wu","raw_affiliation_strings":["School of Computer Science and Technology, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China"],"raw_orcid":"https://orcid.org/0000-0002-6244-0269","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"last","author":{"id":null,"display_name":"Bin Wu","orcid":"https://orcid.org/0000-0002-4722-4226"},"institutions":[{"id":"https://openalex.org/I38877650","display_name":"Zhengzhou University","ror":"https://ror.org/04ypx8c21","country_code":"CN","type":"education","lineage":["https://openalex.org/I38877650"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Wu","raw_affiliation_strings":["School of Computer and Artificial Intelligence, Zhengzhou University, Zhengzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-4722-4226","affiliations":[{"raw_affiliation_string":"School of Computer and Artificial Intelligence, Zhengzhou University, Zhengzhou, China","institution_ids":["https://openalex.org/I38877650"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2645,"currency":"USD","value_usd":2645},"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.46119146,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"13","issue":"2","first_page":"1627","last_page":"1642"},"is_retracted":false,"is_paratext":false,"is_xpac":true,"primary_topic":{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.5252000093460083,"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":0.5252000093460083,"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.2793999910354614,"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/T11439","display_name":"Video Analysis and Summarization","score":0.028999999165534973,"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/benchmark","display_name":"Benchmark (surveying)","score":0.8521999716758728},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.7544000148773193},{"id":"https://openalex.org/keywords/public-opinion","display_name":"Public opinion","score":0.6675000190734863},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.6546000242233276},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6118999719619751},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5284000039100647},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.507099986076355},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.44209998846054077},{"id":"https://openalex.org/keywords/the-internet","display_name":"The Internet","score":0.43790000677108765}],"concepts":[{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.8521999716758728},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7784000039100647},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.7544000148773193},{"id":"https://openalex.org/C134698397","wikidata":"https://www.wikidata.org/wiki/Q17946","display_name":"Public opinion","level":3,"score":0.6675000190734863},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.6546000242233276},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6118999719619751},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.5580999851226807},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5285999774932861},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5284000039100647},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.507099986076355},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.44369998574256897},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.44209998846054077},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.43790000677108765},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.40619999170303345},{"id":"https://openalex.org/C2780428219","wikidata":"https://www.wikidata.org/wiki/Q16952335","display_name":"Cover (algebra)","level":2,"score":0.4052000045776367},{"id":"https://openalex.org/C62897895","wikidata":"https://www.wikidata.org/wiki/Q1915482","display_name":"Mean opinion score","level":3,"score":0.3986000120639801},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3711000084877014},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.3400000035762787},{"id":"https://openalex.org/C20556612","wikidata":"https://www.wikidata.org/wiki/Q4469374","display_name":"Volume (thermodynamics)","level":2,"score":0.31299999356269836},{"id":"https://openalex.org/C133462117","wikidata":"https://www.wikidata.org/wiki/Q4929239","display_name":"Data collection","level":2,"score":0.311599999666214},{"id":"https://openalex.org/C32946077","wikidata":"https://www.wikidata.org/wiki/Q618079","display_name":"Network analysis","level":2,"score":0.30219998955726624},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.2840000092983246},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.2777999937534332},{"id":"https://openalex.org/C45804977","wikidata":"https://www.wikidata.org/wiki/Q7239673","display_name":"Predictive modelling","level":2,"score":0.2721000015735626},{"id":"https://openalex.org/C114713312","wikidata":"https://www.wikidata.org/wiki/Q7551269","display_name":"Social network analysis","level":3,"score":0.2614000141620636},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.25920000672340393},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.2549999952316284},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.25369998812675476},{"id":"https://openalex.org/C86251818","wikidata":"https://www.wikidata.org/wiki/Q816754","display_name":"Benchmarking","level":2,"score":0.25290000438690186},{"id":"https://openalex.org/C3020028006","wikidata":"https://www.wikidata.org/wiki/Q9158","display_name":"Electronic mail","level":2,"score":0.2526000142097473}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcss.2025.3608049","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcss.2025.3608049","pdf_url":null,"source":{"id":"https://openalex.org/S2490693980","display_name":"IEEE Transactions on Computational Social Systems","issn_l":"2329-924X","issn":["2329-924X","2373-7476"],"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 Computational Social Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":46,"referenced_works":["https://openalex.org/W1578985305","https://openalex.org/W1996892032","https://openalex.org/W2002055708","https://openalex.org/W2046682605","https://openalex.org/W2053101950","https://openalex.org/W2075456404","https://openalex.org/W2095609033","https://openalex.org/W2102697000","https://openalex.org/W2107284507","https://openalex.org/W2108598243","https://openalex.org/W2122369144","https://openalex.org/W2122563357","https://openalex.org/W2146334809","https://openalex.org/W2583643061","https://openalex.org/W2584561145","https://openalex.org/W2584992898","https://openalex.org/W2808081143","https://openalex.org/W2889717020","https://openalex.org/W2890631927","https://openalex.org/W2897054934","https://openalex.org/W2897936529","https://openalex.org/W2913218058","https://openalex.org/W2963524571","https://openalex.org/W2990152177","https://openalex.org/W3000155280","https://openalex.org/W3047443805","https://openalex.org/W3048631361","https://openalex.org/W3085812513","https://openalex.org/W3096719817","https://openalex.org/W3096832794","https://openalex.org/W3127056209","https://openalex.org/W3174134652","https://openalex.org/W3198034252","https://openalex.org/W3200012480","https://openalex.org/W3209540366","https://openalex.org/W4224926219","https://openalex.org/W4229450243","https://openalex.org/W4281939523","https://openalex.org/W4283212327","https://openalex.org/W4284961720","https://openalex.org/W4285160795","https://openalex.org/W4313506322","https://openalex.org/W4392903758","https://openalex.org/W4393156830","https://openalex.org/W4400487981","https://openalex.org/W4403791802"],"related_works":[],"abstract_inverted_index":{"We":[0,74,143],"focus":[1],"on":[2,9,41],"the":[3,22,37,42,76,86,168,172,175,180,185,188,192,203,206],"issue":[4],"of":[5,25,30,39,47,53,97,170,187,194,205],"public":[6],"opinion":[7,54,68,89],"analysis":[8,13,55,69,83],"microvideo":[10,26],"platforms.":[11],"Opinion":[12],"already":[14],"has":[15],"mature":[16],"models":[17,52,201],"in":[18,166,209],"sociological":[19],"research,":[20],"but":[21,182],"rapid":[23],"development":[24],"platforms":[27],"makes":[28],"some":[29],"them":[31],"no":[32,57],"longer":[33,58],"applicable.":[34],"Faced":[35],"with":[36,115,150],"volume":[38],"information":[40,152],"Internet":[43],"several":[44,195],"times":[45],"that":[46],"traditional":[48,51,156],"media,":[49],"using":[50,70,218],"is":[56,137],"possible.":[59],"In":[60],"this":[61,210],"article,":[62],"we":[63],"build":[64,93],"aDMVERdataset":[65],"to":[66,145,153],"address":[67],"deep":[71,158],"learning":[72,159],"approaches.":[73],"transform":[75],"problem":[77],"into":[78],"an":[79],"affective":[80],"video":[81,127],"content":[82],"by":[84],"mapping":[85],"relationship":[87],"between":[88],"and":[90,92,124,136,157,179,191,212],"emotion,":[91],"a":[94,214],"new":[95],"benchmark":[96],"microvideos":[98],"for":[99],"emotion":[100,117],"recognition.":[101],"The":[102,161],"dataset":[103,131,173],"includes":[104],"all":[105],"31":[106],"761":[107],"samples":[108,149],"from":[109,129,139],"more":[110,215],"than":[111],"30":[112],"000":[113],"users,":[114],"three":[116],"tendency":[118],"labels,":[119,174],"which":[120],"are":[121],"negative,":[122],"neutral,":[123],"positive.":[125],"Each":[126],"instance":[128],"our":[130],"lasts":[132],"around":[133],"15":[134],"s":[135],"taken":[138],"different":[140,155],"Douyin":[141],"videos.":[142],"aim":[144],"cover":[146],"large":[147],"data":[148,176],"multidimensional":[151],"enable":[154],"methods.":[160],"article":[162,211],"not":[163],"only":[164],"describes":[165],"detail":[167],"process":[169],"defining":[171],"collection":[177],"process,":[178],"statistics,":[181],"also":[183],"provides":[184],"definition":[186],"opinion-emotion":[189],"task":[190],"performance":[193],"baselinesw.r.t.video":[196],"recognition":[197],"frameworks.":[198],"These":[199],"baseline":[200,217],"demonstrate":[202],"feasibility":[204],"approach":[207],"proposed":[208],"define":[213],"efficient":[216],"multimodal":[219],"models.":[220]},"counts_by_year":[],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2025-10-16T00:00:00"}
