{"id":"https://openalex.org/W3177287155","doi":"https://doi.org/10.1145/3451400.3451413","title":"Cat's Eye: Media Insights Analyzer","display_name":"Cat's Eye: Media Insights Analyzer","publication_year":2021,"publication_date":"2021-02-03","ids":{"openalex":"https://openalex.org/W3177287155","doi":"https://doi.org/10.1145/3451400.3451413","mag":"3177287155"},"language":"en","primary_location":{"id":"doi:10.1145/3451400.3451413","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3451400.3451413","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 4th International Conference on Big Data and Education","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/A5006600531","display_name":"Chi Yat Lau","orcid":null},"institutions":[{"id":"https://openalex.org/I144743875","display_name":"Vocational Training Council","ror":"https://ror.org/02pvbz391","country_code":"HK","type":"government","lineage":["https://openalex.org/I144743875"]}],"countries":["HK"],"is_corresponding":true,"raw_author_name":"Chi Yat Lau","raw_affiliation_strings":["Vocational Training Council, China"],"affiliations":[{"raw_affiliation_string":"Vocational Training Council, China","institution_ids":["https://openalex.org/I144743875"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081165689","display_name":"Man-Ching Yuen","orcid":"https://orcid.org/0000-0003-2551-7746"},"institutions":[{"id":"https://openalex.org/I64427410","display_name":"Hong Kong Shue Yan University","ror":"https://ror.org/023t8mt09","country_code":"CN","type":"education","lineage":["https://openalex.org/I64427410"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Man-Ching Yuen","raw_affiliation_strings":["Hong Kong Shue Yan University, China"],"affiliations":[{"raw_affiliation_string":"Hong Kong Shue Yan University, China","institution_ids":["https://openalex.org/I64427410"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033642268","display_name":"Kam-Sum Yiu","orcid":null},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Kam-Sum Yiu","raw_affiliation_strings":["City University of Hong Kong, China"],"affiliations":[{"raw_affiliation_string":"City University of Hong Kong, China","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088166780","display_name":"Hoi-Shan Lau","orcid":null},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Hoi-Shan Lau","raw_affiliation_strings":["City University of Hong Kong, China"],"affiliations":[{"raw_affiliation_string":"City University of Hong Kong, China","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111617282","display_name":"Chun-Ting Lo","orcid":null},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Chun-Ting Lo","raw_affiliation_strings":["The Hong Kong University of Science and Technology, China"],"affiliations":[{"raw_affiliation_string":"The Hong Kong University of Science and Technology, China","institution_ids":["https://openalex.org/I200769079"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5006600531"],"corresponding_institution_ids":["https://openalex.org/I144743875"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.08847247,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"80","last_page":"87"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.5839999914169312,"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":0.5839999914169312,"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/T14435","display_name":"Information Retrieval and Data Mining","score":0.023399999365210533,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T14347","display_name":"Big Data and Digital Economy","score":0.01769999973475933,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/spectrum-analyzer","display_name":"Spectrum analyzer","score":0.7420681118965149},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6292243003845215},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.11681783199310303}],"concepts":[{"id":"https://openalex.org/C158007255","wikidata":"https://www.wikidata.org/wiki/Q1055222","display_name":"Spectrum analyzer","level":2,"score":0.7420681118965149},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6292243003845215},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.11681783199310303}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3451400.3451413","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3451400.3451413","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 4th International Conference on Big Data and Education","raw_type":"proceedings-article"},{"id":"pmh:oai:repository.hkust.edu.hk:1783.1-122918","is_oa":false,"landing_page_url":"http://www.scopus.com/record/display.url?eid=2-s2.0-85102624121&origin=inward","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference paper"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.5699999928474426}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":2,"referenced_works":["https://openalex.org/W179179905","https://openalex.org/W2784071654"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2391061712","https://openalex.org/W2094171095","https://openalex.org/W4231462422","https://openalex.org/W2018394392","https://openalex.org/W2360439310","https://openalex.org/W1979303977","https://openalex.org/W2546380746","https://openalex.org/W2372452257"],"abstract_inverted_index":{"Different":[0],"media":[1,33,113,209],"are":[2,86],"used":[3,199],"to":[4,12,55,78,106,169],"report":[5],"news":[6,16,32,43,70,84,112],"happening":[7],"all":[8,18],"around":[9],"the":[10,13,20,28,31,42,57,69,83,96,108,115,118,124,161,178,189,208,212],"world":[11,21],"public.":[14],"The":[15,62,194],"from":[17],"over":[19],"is":[22,53,134,182],"a":[23,75,138,149],"big":[24],"data":[25,71,85,92],"source":[26],"on":[27,65,156,166],"Internet.":[29],"Besides,":[30],"have":[34,74],"their":[35,80],"own":[36],"writing":[37],"style":[38],"and":[39,82,143,159,185],"stands":[40,109],"towards":[41,49,215],"which":[44,104],"may":[45],"cause":[46],"great":[47],"influence":[48],"readers\u2019":[50,213],"opinion.":[51],"It":[52],"valuable":[54],"analyze":[56],"insights":[58],"of":[59,110,117,120,126,191],"various":[60],"media.":[61],"existing":[63],"works":[64],"sentiment":[66],"analysis":[67],"for":[68,90],"do":[72],"not":[73,87],"user-friendly":[76,150],"interface":[77],"present":[79,144],"work":[81],"retrieved":[88],"regularly":[89],"continuous":[91],"analysis.":[93],"To":[94],"address":[95],"above":[97],"problems,":[98],"we":[99],"propose":[100],"Cat's":[101],"Eye":[102],"Project":[103],"aims":[105],"identify":[107],"different":[111],"through":[114],"usage":[116],"words":[119],"those":[121],"media,":[122],"forecast":[123],"trend":[125],"some":[127],"social":[128,140,216],"issues,":[129],"find":[130],"out":[131],"whether":[132],"there":[133],"any":[135],"indication":[136],"before":[137],"new":[139],"issue":[141],"formed":[142],"our":[145,154,171,192],"findings":[146],"by":[147],"using":[148,175],"interface.":[151],"We":[152],"build":[153],"system":[155,179],"Google":[157,167],"Cloud":[158,168],"use":[160],"built-in":[162],"machine":[163],"learning":[164,172],"algorithms":[165],"develop":[170],"model.":[173],"By":[174],"cloud":[176],"technology,":[177],"implementation":[180],"period":[181],"highly":[183],"reduced,":[184],"it":[186],"also":[187],"guarantees":[188],"scalability":[190],"system.":[193],"output":[195],"finding":[196],"can":[197,210],"be":[198],"as":[200],"interesting":[201],"insights.":[202],"Our":[203],"pilot":[204],"study":[205],"showed":[206],"that":[207],"affect":[211],"opinion":[214],"issues.":[217]},"counts_by_year":[],"updated_date":"2026-03-03T08:47:05.690250","created_date":"2025-10-10T00:00:00"}
