{"id":"https://openalex.org/W4384833589","doi":"https://doi.org/10.1145/3592571.3592970","title":"MTSS: Movie Trailers Surveillance System using Social Media Analytics and Public Mood","display_name":"MTSS: Movie Trailers Surveillance System using Social Media Analytics and Public Mood","publication_year":2023,"publication_date":"2023-06-12","ids":{"openalex":"https://openalex.org/W4384833589","doi":"https://doi.org/10.1145/3592571.3592970"},"language":"en","primary_location":{"id":"doi:10.1145/3592571.3592970","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3592571.3592970","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"4th Workshop on Intelligent Cross-Data Analysis and Retrieval","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/A5047253171","display_name":"Ioannis Prokopiou","orcid":"https://orcid.org/0009-0004-4425-9249"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Ioannis Prokopiou","raw_affiliation_strings":["Orfium Research, Greece and Computer Engineering &amp; Informatics Department, Greece"],"raw_orcid":"https://orcid.org/0009-0004-4425-9249","affiliations":[{"raw_affiliation_string":"Orfium Research, Greece and Computer Engineering &amp; Informatics Department, Greece","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048033327","display_name":"Pantelis Vikatos","orcid":"https://orcid.org/0000-0003-1573-5125"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Pantelis Vikatos","raw_affiliation_strings":["Orfium Research, Greece"],"raw_orcid":"https://orcid.org/0000-0003-1573-5125","affiliations":[{"raw_affiliation_string":"Orfium Research, Greece","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018668287","display_name":"Christos Chatzis","orcid":"https://orcid.org/0009-0002-9140-3819"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Christos Chatzis","raw_affiliation_strings":["Orfium Research, Greece"],"raw_orcid":"https://orcid.org/0009-0002-9140-3819","affiliations":[{"raw_affiliation_string":"Orfium Research, Greece","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057164541","display_name":"Christos Christodoulou","orcid":"https://orcid.org/0000-0003-3843-9118"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Christos Christodoulou","raw_affiliation_strings":["Orfium Research, Greece"],"raw_orcid":"https://orcid.org/0000-0003-3843-9118","affiliations":[{"raw_affiliation_string":"Orfium Research, Greece","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5047253171"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.0591,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.89175266,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"46","last_page":"50"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12214","display_name":"Media Influence and Health","score":0.9717000126838684,"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"}},"topics":[{"id":"https://openalex.org/T12214","display_name":"Media Influence and Health","score":0.9717000126838684,"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"}},{"id":"https://openalex.org/T11165","display_name":"Image and Video Quality Assessment","score":0.9678999781608582,"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/T11439","display_name":"Video Analysis and Summarization","score":0.9677000045776367,"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/social-media","display_name":"Social media","score":0.6723424196243286},{"id":"https://openalex.org/keywords/mood","display_name":"Mood","score":0.6307513117790222},{"id":"https://openalex.org/keywords/social-media-analytics","display_name":"Social media analytics","score":0.6290919184684753},{"id":"https://openalex.org/keywords/analytics","display_name":"Analytics","score":0.5850194096565247},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5312269330024719},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3595734238624573},{"id":"https://openalex.org/keywords/internet-privacy","display_name":"Internet privacy","score":0.34422600269317627},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.32239973545074463},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.20771116018295288},{"id":"https://openalex.org/keywords/social-psychology","display_name":"Social psychology","score":0.14664849638938904}],"concepts":[{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.6723424196243286},{"id":"https://openalex.org/C2780733359","wikidata":"https://www.wikidata.org/wiki/Q331769","display_name":"Mood","level":2,"score":0.6307513117790222},{"id":"https://openalex.org/C2778729106","wikidata":"https://www.wikidata.org/wiki/Q1140126","display_name":"Social media analytics","level":3,"score":0.6290919184684753},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.5850194096565247},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5312269330024719},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3595734238624573},{"id":"https://openalex.org/C108827166","wikidata":"https://www.wikidata.org/wiki/Q175975","display_name":"Internet privacy","level":1,"score":0.34422600269317627},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.32239973545074463},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.20771116018295288},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.14664849638938904}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3592571.3592970","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3592571.3592970","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"4th Workshop on Intelligent Cross-Data Analysis and Retrieval","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/1","display_name":"No poverty","score":0.699999988079071}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1544653256","https://openalex.org/W2035064075","https://openalex.org/W2058830454","https://openalex.org/W2584056073","https://openalex.org/W2775774141","https://openalex.org/W2781487490","https://openalex.org/W2967729586","https://openalex.org/W3012159372","https://openalex.org/W3028654404","https://openalex.org/W3205377756","https://openalex.org/W3215394577","https://openalex.org/W4200556213","https://openalex.org/W4206615258","https://openalex.org/W4231510805","https://openalex.org/W4250903743"],"related_works":["https://openalex.org/W2899600512","https://openalex.org/W4236511752","https://openalex.org/W2615975817","https://openalex.org/W1440043730","https://openalex.org/W2970486633","https://openalex.org/W2752017774","https://openalex.org/W4312328042","https://openalex.org/W2146123582","https://openalex.org/W2309196980","https://openalex.org/W4232432449"],"abstract_inverted_index":{"The":[0,97,121],"movie":[1,32,85,158],"industry":[2],"is":[3,64],"characterized":[4],"by":[5],"high":[6],"levels":[7],"of":[8,29,50,68,115,156,165],"uncertainty":[9],"due":[10],"to":[11,44,54,104,129],"the":[12,30,46,107,153,163],"difficulties":[13],"businesses":[14],"have":[15],"predicting":[16],"sales":[17],"and":[18,94,106,113,137,147,161],"income":[19],"since":[20],"they":[21],"depend":[22],"on":[23,41],"so":[24],"many":[25],"complex":[26],"elements.":[27],"Because":[28],"significant":[31],"industry\u2019s":[33],"upfront":[34],"costs,":[35],"investors":[36],"must":[37],"make":[38],"decisions":[39],"based":[40],"accurate":[42],"methodologies":[43],"estimate":[45],"success":[47,164],"or":[48],"returns":[49],"their":[51],"investments.":[52],"Due":[53],"social":[55,91,134],"networks\u2019":[56],"widespread":[57],"use":[58],"in":[59,117],"our":[60,84],"daily":[61],"lives,":[62],"there":[63],"an":[65,100],"unprecedented":[66],"amount":[67],"publicly":[69],"available":[70],"posts":[71],"containing":[72],"emotional":[73],"triggers":[74],"that":[75],"can":[76],"be":[77],"analyzed.":[78],"In":[79],"this":[80],"paper,":[81],"we":[82],"showcase":[83],"trailers":[86],"campaign":[87],"surveillance":[88,155],"system":[89,98,123],"using":[90],"media":[92,135],"analytics":[93,140],"public":[95],"mood.":[96],"provides":[99],"overall":[101],"interactive":[102],"dashboard":[103],"users":[105],"capability":[108],"for":[109,145],"further":[110],"process,":[111],"analysis,":[112],"visualization":[114],"data":[116],"distinct":[118],"customized":[119],"reports.":[120],"proposed":[122],"also":[124],"offers":[125],"a":[126,157],"configurable":[127],"environment":[128],"gather":[130],"metrics":[131],"from":[132],"heterogeneous":[133],"platforms":[136],"extract":[138],"advanced":[139],"through":[141],"dedicated":[142],"AI":[143],"tools":[144],"sentiment":[146],"emotion":[148],"extraction.":[149],"This":[150],"solution":[151],"benefits":[152],"continuous":[154],"trailer\u2019s":[159],"popularity":[160],"supports":[162],"marketing":[166],"campaigns.":[167]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
