{"id":"https://openalex.org/W2292770929","doi":"https://doi.org/10.1109/taai.2015.7407068","title":"Discovering implicit concepts in popular TV programs from social media","display_name":"Discovering implicit concepts in popular TV programs from social media","publication_year":2015,"publication_date":"2015-11-01","ids":{"openalex":"https://openalex.org/W2292770929","doi":"https://doi.org/10.1109/taai.2015.7407068","mag":"2292770929"},"language":"en","primary_location":{"id":"doi:10.1109/taai.2015.7407068","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taai.2015.7407068","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 Conference on Technologies and Applications of Artificial Intelligence (TAAI)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5100677096","display_name":"Jenq\u2010Haur Wang","orcid":"https://orcid.org/0000-0002-6076-7380"},"institutions":[{"id":"https://openalex.org/I118292597","display_name":"National Taipei University of Technology","ror":"https://ror.org/00cn92c09","country_code":"TW","type":"education","lineage":["https://openalex.org/I118292597"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Jenq-Haur Wang","raw_affiliation_strings":["Department of Computer Science and Information Engineering, National Taipei University of Technology, Taipei, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Information Engineering, National Taipei University of Technology, Taipei, Taiwan","institution_ids":["https://openalex.org/I118292597"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050670480","display_name":"Ting-Han Su","orcid":null},"institutions":[{"id":"https://openalex.org/I118292597","display_name":"National Taipei University of Technology","ror":"https://ror.org/00cn92c09","country_code":"TW","type":"education","lineage":["https://openalex.org/I118292597"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Ting-Han Su","raw_affiliation_strings":["Department of Computer Science and Information Engineering, National Taipei University of Technology, Taipei, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Information Engineering, National Taipei University of Technology, Taipei, Taiwan","institution_ids":["https://openalex.org/I118292597"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017595998","display_name":"Hao-Yin Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I118292597","display_name":"National Taipei University of Technology","ror":"https://ror.org/00cn92c09","country_code":"TW","type":"education","lineage":["https://openalex.org/I118292597"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Hao-Yin Liu","raw_affiliation_strings":["Department of Computer Science and Information Engineering, National Taipei University of Technology, Taipei, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Information Engineering, National Taipei University of Technology, Taipei, Taiwan","institution_ids":["https://openalex.org/I118292597"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I118292597"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.14869638,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"541","last_page":"545"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9983999729156494,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9983999729156494,"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.996999979019165,"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/T10609","display_name":"Digital Marketing and Social Media","score":0.9907000064849854,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8251811265945435},{"id":"https://openalex.org/keywords/metadata","display_name":"Metadata","score":0.6784180402755737},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.6374106407165527},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.61607426404953},{"id":"https://openalex.org/keywords/product","display_name":"Product (mathematics)","score":0.5770028829574585},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.5582298636436462},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.536052942276001},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5191530585289001},{"id":"https://openalex.org/keywords/promotion","display_name":"Promotion (chess)","score":0.4422713816165924},{"id":"https://openalex.org/keywords/popular-media","display_name":"Popular media","score":0.41241690516471863},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.33015286922454834}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8251811265945435},{"id":"https://openalex.org/C93518851","wikidata":"https://www.wikidata.org/wiki/Q180160","display_name":"Metadata","level":2,"score":0.6784180402755737},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.6374106407165527},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.61607426404953},{"id":"https://openalex.org/C90673727","wikidata":"https://www.wikidata.org/wiki/Q901718","display_name":"Product (mathematics)","level":2,"score":0.5770028829574585},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.5582298636436462},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.536052942276001},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5191530585289001},{"id":"https://openalex.org/C98147612","wikidata":"https://www.wikidata.org/wiki/Q215599","display_name":"Promotion (chess)","level":3,"score":0.4422713816165924},{"id":"https://openalex.org/C2992654203","wikidata":"https://www.wikidata.org/wiki/Q1193236","display_name":"Popular media","level":2,"score":0.41241690516471863},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.33015286922454834},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C29595303","wikidata":"https://www.wikidata.org/wiki/Q165650","display_name":"Media studies","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/taai.2015.7407068","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taai.2015.7407068","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 Conference on Technologies and Applications of Artificial Intelligence (TAAI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6100000143051147,"id":"https://metadata.un.org/sdg/8","display_name":"Decent work and economic growth"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W298157348","https://openalex.org/W2026164260","https://openalex.org/W2042067021","https://openalex.org/W2073448073","https://openalex.org/W2114581066","https://openalex.org/W2147949663","https://openalex.org/W2154384676"],"related_works":["https://openalex.org/W2392768766","https://openalex.org/W2058118494","https://openalex.org/W2095118173","https://openalex.org/W2382021449","https://openalex.org/W2104269053","https://openalex.org/W2106424170","https://openalex.org/W2501188010","https://openalex.org/W4299935056","https://openalex.org/W2768810474","https://openalex.org/W4206575749"],"abstract_inverted_index":{"With":[0],"large":[1],"audience":[2,28],"base":[3],"for":[4,36,79,128,149],"popular":[5,80,129,150],"TV":[6,61,81],"programs,":[7],"vendors":[8],"usually":[9,44],"place":[10],"program-related":[11],"product":[12,16,48],"information":[13,49],"implicitly":[14,162],"by":[15,90],"placement,":[17],"or":[18],"embedded":[19],"marketing":[20],"schemes.":[21],"They":[22],"target":[23],"at":[24],"specific":[25],"groups":[26],"of":[27,124,144,156],"who":[29],"might":[30],"be":[31,57,147],"interested":[32],"in":[33,46,86,108,160],"the":[34,118,122,137,154],"products":[35],"promotion":[37],"purpose.":[38],"Thus,":[39],"contextual":[40],"advertising":[41],"technique":[42],"is":[43,101],"applied":[45,59],"matching":[47],"with":[50],"relevant":[51,163],"Web":[52,72,111],"pages.":[53],"However,":[54],"it":[55],"cannot":[56],"directly":[58],"to":[60,75,113],"programs":[62,87],"without":[63],"suitable":[64],"metadata.":[65],"In":[66,117],"this":[67],"paper,":[68],"we":[69,120],"propose":[70],"a":[71],"mining":[73],"approach":[74,127,159],"implicit":[76,98,115],"concept":[77],"discovery":[78],"programs.":[82],"First,":[83],"major":[84],"topics":[85,104],"are":[88],"extracted":[89],"keyphrase":[91],"extraction":[92],"and":[93,105,133],"topic":[94],"filtering":[95],"methods.":[96],"Then,":[97],"relevance":[99],"analysis":[100],"performed":[102],"between":[103],"related":[106],"categories":[107],"various":[109],"social":[110,166],"forums":[112],"identify":[114],"concepts.":[116],"experiments,":[119],"evaluated":[121],"performance":[123],"our":[125,157],"proposed":[126,158],"Korean,":[130],"Japanese,":[131],"Chinese,":[132],"Taiwanese":[134],"dramas.":[135,151],"As":[136],"experimental":[138],"results":[139],"show,":[140],"an":[141],"average":[142],"precision":[143],"65.11%":[145],"can":[146],"achieved":[148],"This":[152],"validates":[153],"effectiveness":[155],"discovering":[161],"concepts":[164],"from":[165],"media.":[167]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}