{"id":"https://openalex.org/W2921376597","doi":"https://doi.org/10.1145/3299819.3299839","title":"Microblog Mood Predicts the Box Office Performance","display_name":"Microblog Mood Predicts the Box Office Performance","publication_year":2018,"publication_date":"2018-12-21","ids":{"openalex":"https://openalex.org/W2921376597","doi":"https://doi.org/10.1145/3299819.3299839","mag":"2921376597"},"language":"en","primary_location":{"id":"doi:10.1145/3299819.3299839","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3299819.3299839","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2018 Artificial Intelligence and Cloud Computing Conference","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/A5024627794","display_name":"Xiaoyang Qiu","orcid":"https://orcid.org/0000-0001-9064-558X"},"institutions":[{"id":"https://openalex.org/I4210153668","display_name":"Wenzhou-Kean University","ror":"https://ror.org/05609xa16","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210153668"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiaoyang Qiu","raw_affiliation_strings":["Media Lab, Department of Computer Science, Wenzhou-Kean University, Wenzhou, China"],"affiliations":[{"raw_affiliation_string":"Media Lab, Department of Computer Science, Wenzhou-Kean University, Wenzhou, China","institution_ids":["https://openalex.org/I4210153668"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010366451","display_name":"Tiffany Y. Tang","orcid":"https://orcid.org/0000-0002-9593-3000"},"institutions":[{"id":"https://openalex.org/I4210153668","display_name":"Wenzhou-Kean University","ror":"https://ror.org/05609xa16","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210153668"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tiffany Ya Tang","raw_affiliation_strings":["Media Lab, Department of Computer Science, Wenzhou-Kean University, Wenzhou, China"],"affiliations":[{"raw_affiliation_string":"Media Lab, Department of Computer Science, Wenzhou-Kean University, Wenzhou, China","institution_ids":["https://openalex.org/I4210153668"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5024627794"],"corresponding_institution_ids":["https://openalex.org/I4210153668"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.25128704,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"129","last_page":"133"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10758","display_name":"Cinema and Media Studies","score":0.9864000082015991,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10758","display_name":"Cinema and Media Studies","score":0.9864000082015991,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9824000000953674,"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/T12214","display_name":"Media Influence and Health","score":0.9442999958992004,"subfield":{"id":"https://openalex.org/subfields/1208","display_name":"Literature and Literary Theory"},"field":{"id":"https://openalex.org/fields/12","display_name":"Arts and Humanities"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/box-office","display_name":"Box office","score":0.936901330947876},{"id":"https://openalex.org/keywords/microblogging","display_name":"Microblogging","score":0.8281652927398682},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.7574332356452942},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6434542536735535},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6374300122261047},{"id":"https://openalex.org/keywords/china","display_name":"China","score":0.5938287377357483},{"id":"https://openalex.org/keywords/mood","display_name":"Mood","score":0.5230806469917297},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.46148911118507385},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.4549446105957031},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3814065456390381},{"id":"https://openalex.org/keywords/advertising","display_name":"Advertising","score":0.3450757563114166},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3287147879600525},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.2243223488330841},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.19112414121627808},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.16683372855186462},{"id":"https://openalex.org/keywords/social-psychology","display_name":"Social psychology","score":0.14025264978408813},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.12669333815574646},{"id":"https://openalex.org/keywords/political-science","display_name":"Political science","score":0.10988965630531311},{"id":"https://openalex.org/keywords/history","display_name":"History","score":0.08949506282806396}],"concepts":[{"id":"https://openalex.org/C2992750335","wikidata":"https://www.wikidata.org/wiki/Q877435","display_name":"Box office","level":2,"score":0.936901330947876},{"id":"https://openalex.org/C143275388","wikidata":"https://www.wikidata.org/wiki/Q92438","display_name":"Microblogging","level":3,"score":0.8281652927398682},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.7574332356452942},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6434542536735535},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6374300122261047},{"id":"https://openalex.org/C191935318","wikidata":"https://www.wikidata.org/wiki/Q148","display_name":"China","level":2,"score":0.5938287377357483},{"id":"https://openalex.org/C2780733359","wikidata":"https://www.wikidata.org/wiki/Q331769","display_name":"Mood","level":2,"score":0.5230806469917297},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.46148911118507385},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.4549446105957031},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3814065456390381},{"id":"https://openalex.org/C112698675","wikidata":"https://www.wikidata.org/wiki/Q37038","display_name":"Advertising","level":1,"score":0.3450757563114166},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3287147879600525},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.2243223488330841},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.19112414121627808},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.16683372855186462},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.14025264978408813},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.12669333815574646},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.10988965630531311},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.08949506282806396},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3299819.3299839","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3299819.3299839","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2018 Artificial Intelligence and Cloud Computing Conference","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1783061888","https://openalex.org/W1982381099","https://openalex.org/W2019759670","https://openalex.org/W2020615055","https://openalex.org/W2058998445","https://openalex.org/W2113984132","https://openalex.org/W2122710250","https://openalex.org/W2126053020","https://openalex.org/W2159861630","https://openalex.org/W2171468534","https://openalex.org/W2807561164","https://openalex.org/W2998369497"],"related_works":["https://openalex.org/W2275433313","https://openalex.org/W2053241453","https://openalex.org/W2017590198","https://openalex.org/W2978974359","https://openalex.org/W1995742990","https://openalex.org/W2728430307","https://openalex.org/W2153980712","https://openalex.org/W2036556872","https://openalex.org/W2087532526","https://openalex.org/W1540611520"],"abstract_inverted_index":{"Zhan":[0,155],"Lang":[1,156],"2":[2,157],"(Wolf":[3],"Warrior":[4],"2),":[5],"an":[6,53,148],"action":[7],"movie":[8,48,67,129],"directed":[9],"and":[10,91,127],"acted":[11],"by":[12],"Wu":[13],"Jing,":[14],"won":[15],"a":[16,132],"huge":[17],"success":[18,153],"in":[19,24,31,42,56,131,141],"the":[20,32,36,47,58,76,83,92,95,100,115,118,137,142,144,152],"Chinese":[21,86],"film":[22,38],"market":[23],"2017.":[25],"Its":[26],"earned":[27],"5.6":[28],"billion":[29],"yuan":[30],"box":[33,59,68],"office,":[34],"become":[35],"biggest":[37],"of":[39,46,94,117,154],"all":[40],"time":[41,134],"China.":[43],"The":[44],"discussion":[45],"on":[49,72,75,79,85,99,121],"social":[50,80],"media":[51],"plays":[52],"indispensable":[54],"role":[55],"influencing":[57],"office":[60,69],"performance.":[61],"This":[62],"study":[63,103],"aims":[64],"to":[65,105,113],"predict":[66],"performance":[70],"based":[71],"affective":[73],"computation":[74],"related":[77,123],"feeds":[78,126],"media.":[81],"Since":[82],"research":[84],"sentiment":[87],"analysis":[88,96],"is":[89,158],"limited,":[90],"accuracy":[93,116],"highly":[97],"depends":[98],"context,":[101],"this":[102],"proposes":[104],"combine":[106],"topic's":[107],"hotness":[108],"degree":[109],"with":[110,136],"emotion":[111],"score":[112],"improve":[114],"prediction.":[119],"Based":[120],"16,496,675":[122],"Sina":[124],"Weibo":[125],"Douban":[128],"reviews":[130],"restricted":[133],"zone,":[135],"prediction":[138,145],"algorithm":[139],"proposed":[140],"paper,":[143],"result":[146],"yields":[147],"R2=95.71%.":[149],"Which":[150],"means":[151],"utterly":[159],"predictable.":[160]},"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"}