{"id":"https://openalex.org/W2975127206","doi":"https://doi.org/10.1109/iccse.2019.8845395","title":"Keyword Analysis and Topic Extraction of Hospital Violence News","display_name":"Keyword Analysis and Topic Extraction of Hospital Violence News","publication_year":2019,"publication_date":"2019-08-01","ids":{"openalex":"https://openalex.org/W2975127206","doi":"https://doi.org/10.1109/iccse.2019.8845395","mag":"2975127206"},"language":"en","primary_location":{"id":"doi:10.1109/iccse.2019.8845395","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccse.2019.8845395","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 14th International Conference on Computer Science &amp; Education (ICCSE)","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/A5101800513","display_name":"Ji Li","orcid":"https://orcid.org/0000-0001-6477-2892"},"institutions":[{"id":"https://openalex.org/I186272606","display_name":"Guangdong University of Foreign Studies","ror":"https://ror.org/00fhc9y79","country_code":"CN","type":"education","lineage":["https://openalex.org/I186272606"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ji Li","raw_affiliation_strings":["Department of Network and New Media, Guangdong University of Foreign Studies, Guangzhou, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Network and New Media, Guangdong University of Foreign Studies, Guangzhou, P. R. China","institution_ids":["https://openalex.org/I186272606"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037765364","display_name":"Daoli Dong","orcid":null},"institutions":[{"id":"https://openalex.org/I186272606","display_name":"Guangdong University of Foreign Studies","ror":"https://ror.org/00fhc9y79","country_code":"CN","type":"education","lineage":["https://openalex.org/I186272606"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Daoli Dong","raw_affiliation_strings":["School of Journalism and Communication, Guangdong University of Foreign Studies, Guangzhou, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Journalism and Communication, Guangdong University of Foreign Studies, Guangzhou, P. R. China","institution_ids":["https://openalex.org/I186272606"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I186272606"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"20","issue":null,"first_page":"709","last_page":"713"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13910","display_name":"Computational and Text Analysis Methods","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/3300","display_name":"General Social Sciences"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T13910","display_name":"Computational and Text Analysis Methods","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/3300","display_name":"General Social Sciences"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9854000210762024,"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/T13751","display_name":"Diverse Approaches in Healthcare and Education Studies","score":0.939300000667572,"subfield":{"id":"https://openalex.org/subfields/2739","display_name":"Public Health, Environmental and Occupational Health"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/latent-dirichlet-allocation","display_name":"Latent Dirichlet allocation","score":0.9018405675888062},{"id":"https://openalex.org/keywords/mainstream","display_name":"Mainstream","score":0.7873467206954956},{"id":"https://openalex.org/keywords/topic-model","display_name":"Topic model","score":0.6877133846282959},{"id":"https://openalex.org/keywords/news-media","display_name":"News media","score":0.5793738961219788},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.512418806552887},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5056185722351074},{"id":"https://openalex.org/keywords/newspaper","display_name":"Newspaper","score":0.4615575969219208},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3275758624076843},{"id":"https://openalex.org/keywords/media-studies","display_name":"Media studies","score":0.25287991762161255},{"id":"https://openalex.org/keywords/sociology","display_name":"Sociology","score":0.17125681042671204},{"id":"https://openalex.org/keywords/political-science","display_name":"Political science","score":0.14405405521392822},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1159970760345459},{"id":"https://openalex.org/keywords/law","display_name":"Law","score":0.06436958909034729}],"concepts":[{"id":"https://openalex.org/C500882744","wikidata":"https://www.wikidata.org/wiki/Q269236","display_name":"Latent Dirichlet allocation","level":3,"score":0.9018405675888062},{"id":"https://openalex.org/C2777617010","wikidata":"https://www.wikidata.org/wiki/Q18957","display_name":"Mainstream","level":2,"score":0.7873467206954956},{"id":"https://openalex.org/C171686336","wikidata":"https://www.wikidata.org/wiki/Q3532085","display_name":"Topic model","level":2,"score":0.6877133846282959},{"id":"https://openalex.org/C529147693","wikidata":"https://www.wikidata.org/wiki/Q1193236","display_name":"News media","level":2,"score":0.5793738961219788},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.512418806552887},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5056185722351074},{"id":"https://openalex.org/C201280247","wikidata":"https://www.wikidata.org/wiki/Q11032","display_name":"Newspaper","level":2,"score":0.4615575969219208},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3275758624076843},{"id":"https://openalex.org/C29595303","wikidata":"https://www.wikidata.org/wiki/Q165650","display_name":"Media studies","level":1,"score":0.25287991762161255},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.17125681042671204},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.14405405521392822},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1159970760345459},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.06436958909034729},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iccse.2019.8845395","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccse.2019.8845395","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 14th International Conference on Computer Science &amp; Education (ICCSE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.5299999713897705,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W2402700","https://openalex.org/W1530245011","https://openalex.org/W1988739859","https://openalex.org/W2001932471","https://openalex.org/W2058080055","https://openalex.org/W2077303393","https://openalex.org/W2104210067","https://openalex.org/W2109079027","https://openalex.org/W2110591510","https://openalex.org/W2547285702","https://openalex.org/W2766335738","https://openalex.org/W2781033360","https://openalex.org/W2790855988","https://openalex.org/W2799528286","https://openalex.org/W2891931414"],"related_works":["https://openalex.org/W2769501189","https://openalex.org/W4315588616","https://openalex.org/W4312773271","https://openalex.org/W2888805565","https://openalex.org/W2962686197","https://openalex.org/W2207653751","https://openalex.org/W3005513013","https://openalex.org/W2611137333","https://openalex.org/W4291700620","https://openalex.org/W4317422773"],"abstract_inverted_index":{"Currently":[0],"disputes":[1],"between":[2,19],"doctors":[3],"and":[4,106,113,133,160],"patients":[5],"have":[6,52],"increased":[7],"in":[8,76],"China,":[9],"as":[10,83,102],"has":[11],"hospital":[12,33,47,153],"violence.":[13],"How":[14],"to":[15,37,55,57,157],"improve":[16,58],"the":[17,29,44,59,63,94,117,123,127,150,158],"relationship":[18,61],"them":[20],"is":[21,115],"an":[22],"important":[23],"problem.":[24],"This":[25],"paper":[26],"focuses":[27],"on":[28],"online":[30,79],"news":[31,74,95,124,135,155],"about":[32],"violence":[34,48,154],"from":[35,62,78],"2013":[36],"2018.":[38],"If":[39],"we":[40,50,71,92,121,148],"can":[41],"find":[42],"out":[43],"characteristics":[45,151],"of":[46,65,152],"news,":[49],"will":[51],"some":[53],"possibilities":[54],"help":[56],"doctor-patient":[60],"point":[64],"media":[66],"coverage.":[67],"In":[68],"this":[69],"study,":[70],"collect":[72],"90,499":[73],"articles":[75],"total":[77],"mainstream":[80],"media,":[81],"such":[82],"People's":[84],"Daily,":[85],"Tencent":[86],"News,":[87,89],"NetEase":[88],"etc.":[90],"First,":[91],"analyze":[93,122],"by":[96,125],"extracting":[97],"keywords":[98,159],"using":[99],"three":[100],"algorithms":[101],"word":[103],"frequency,":[104],"TF-IDF":[105],"TextRank":[107,114],"respectively.":[108],"The":[109],"results":[110],"are":[111,142],"compared":[112],"shown":[116],"most":[118],"effective.":[119],"Second,":[120],"building":[126],"Latent":[128],"Dirichlet":[129],"Allocation":[130],"topic":[131],"model":[132],"extract":[134],"topics":[136,141],"automatically.":[137],"And":[138],"then":[139],"these":[140],"grouped":[143],"into":[144],"five":[145],"themes.":[146],"Finally,":[147],"discuss":[149],"according":[156],"topics.":[161]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2019,"cited_by_count":1}],"updated_date":"2026-07-19T07:52:34.831488","created_date":"2025-10-10T00:00:00"}
