{"id":"https://openalex.org/W3135383994","doi":"https://doi.org/10.1109/access.2021.3062875","title":"Investigating COVID-19 News Across Four Nations: A Topic Modeling and Sentiment Analysis Approach","display_name":"Investigating COVID-19 News Across Four Nations: A Topic Modeling and Sentiment Analysis Approach","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3135383994","doi":"https://doi.org/10.1109/access.2021.3062875","mag":"3135383994","pmid":"https://pubmed.ncbi.nlm.nih.gov/34786310"},"language":"en","primary_location":{"id":"doi:10.1109/access.2021.3062875","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3062875","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9312710/09366469.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/9312710/09366469.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5042644425","display_name":"Piyush Ghasiya","orcid":"https://orcid.org/0000-0002-0543-2027"},"institutions":[{"id":"https://openalex.org/I135598925","display_name":"Kyushu University","ror":"https://ror.org/00p4k0j84","country_code":"JP","type":"education","lineage":["https://openalex.org/I135598925"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Piyush Ghasiya","raw_affiliation_strings":["Graduate School of Information Science and Electrical Engineering, Kyushu University, Fukuoka, Japan"],"raw_orcid":"https://orcid.org/0000-0002-0543-2027","affiliations":[{"raw_affiliation_string":"Graduate School of Information Science and Electrical Engineering, Kyushu University, Fukuoka, Japan","institution_ids":["https://openalex.org/I135598925"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101972214","display_name":"Koji Okamura","orcid":"https://orcid.org/0000-0003-2217-7918"},"institutions":[{"id":"https://openalex.org/I135598925","display_name":"Kyushu University","ror":"https://ror.org/00p4k0j84","country_code":"JP","type":"education","lineage":["https://openalex.org/I135598925"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Koji Okamura","raw_affiliation_strings":["Research Institute for Information Technology, Kyushu University, Fukuoka, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Research Institute for Information Technology, Kyushu University, Fukuoka, Japan","institution_ids":["https://openalex.org/I135598925"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5042644425"],"corresponding_institution_ids":["https://openalex.org/I135598925"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":15.8182,"has_fulltext":true,"cited_by_count":131,"citation_normalized_percentile":{"value":0.99265163,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"9","issue":null,"first_page":"36645","last_page":"36656"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9994999766349792,"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":0.9994999766349792,"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/T11147","display_name":"Misinformation and Its Impacts","score":0.9929999709129333,"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"}},{"id":"https://openalex.org/T13910","display_name":"Computational and Text Analysis Methods","score":0.9918000102043152,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/newspaper","display_name":"Newspaper","score":0.8231725692749023},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.8098082542419434},{"id":"https://openalex.org/keywords/pandemic","display_name":"Pandemic","score":0.7734425067901611},{"id":"https://openalex.org/keywords/coronavirus-disease-2019","display_name":"Coronavirus disease 2019 (COVID-19)","score":0.7327883243560791},{"id":"https://openalex.org/keywords/government","display_name":"Government (linguistics)","score":0.7097636461257935},{"id":"https://openalex.org/keywords/topic-model","display_name":"Topic model","score":0.6526083946228027},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.5298126935958862},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.45604968070983887},{"id":"https://openalex.org/keywords/political-science","display_name":"Political science","score":0.448085218667984},{"id":"https://openalex.org/keywords/severe-acute-respiratory-syndrome-coronavirus-2","display_name":"Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)","score":0.4286474585533142},{"id":"https://openalex.org/keywords/2019-20-coronavirus-outbreak","display_name":"2019-20 coronavirus outbreak","score":0.4172956049442291},{"id":"https://openalex.org/keywords/public-relations","display_name":"Public relations","score":0.34137940406799316},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.17327672243118286},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.17303326725959778},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.1481417417526245}],"concepts":[{"id":"https://openalex.org/C201280247","wikidata":"https://www.wikidata.org/wiki/Q11032","display_name":"Newspaper","level":2,"score":0.8231725692749023},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.8098082542419434},{"id":"https://openalex.org/C89623803","wikidata":"https://www.wikidata.org/wiki/Q12184","display_name":"Pandemic","level":5,"score":0.7734425067901611},{"id":"https://openalex.org/C3008058167","wikidata":"https://www.wikidata.org/wiki/Q84263196","display_name":"Coronavirus disease 2019 (COVID-19)","level":4,"score":0.7327883243560791},{"id":"https://openalex.org/C2778137410","wikidata":"https://www.wikidata.org/wiki/Q2732820","display_name":"Government (linguistics)","level":2,"score":0.7097636461257935},{"id":"https://openalex.org/C171686336","wikidata":"https://www.wikidata.org/wiki/Q3532085","display_name":"Topic model","level":2,"score":0.6526083946228027},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.5298126935958862},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.45604968070983887},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.448085218667984},{"id":"https://openalex.org/C3007834351","wikidata":"https://www.wikidata.org/wiki/Q82069695","display_name":"Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)","level":5,"score":0.4286474585533142},{"id":"https://openalex.org/C3006700255","wikidata":"https://www.wikidata.org/wiki/Q81068910","display_name":"2019-20 coronavirus outbreak","level":3,"score":0.4172956049442291},{"id":"https://openalex.org/C39549134","wikidata":"https://www.wikidata.org/wiki/Q133080","display_name":"Public relations","level":1,"score":0.34137940406799316},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.17327672243118286},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.17303326725959778},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.1481417417526245},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C116675565","wikidata":"https://www.wikidata.org/wiki/Q3241045","display_name":"Outbreak","level":2,"score":0.0},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0},{"id":"https://openalex.org/C159047783","wikidata":"https://www.wikidata.org/wiki/Q7215","display_name":"Virology","level":1,"score":0.0},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C524204448","wikidata":"https://www.wikidata.org/wiki/Q788926","display_name":"Infectious disease (medical specialty)","level":3,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/access.2021.3062875","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3062875","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9312710/09366469.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmid:34786310","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/34786310","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE access : practical innovations, open solutions","raw_type":null},{"id":"pmh:oai:doaj.org/article:4c27a182224e483d9695d4a43e73f964","is_oa":true,"landing_page_url":"https://doaj.org/article/4c27a182224e483d9695d4a43e73f964","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 9, Pp 36645-36656 (2021)","raw_type":"article"},{"id":"pmh:oai:pubmedcentral.nih.gov:8545217","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/8545217","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1109/access.2021.3062875","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3062875","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9312710/09366469.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.7900000214576721,"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320320912","display_name":"Ministry of Education, Culture, Sports, Science and Technology","ror":"https://ror.org/048rj2z13"},{"id":"https://openalex.org/F4320336976","display_name":"Research Institute for Information Technology, Kyushu University","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3135383994.pdf","grobid_xml":"https://content.openalex.org/works/W3135383994.grobid-xml"},"referenced_works_count":47,"referenced_works":["https://openalex.org/W2020278455","https://openalex.org/W2099813784","https://openalex.org/W2131744502","https://openalex.org/W2174706414","https://openalex.org/W2295223795","https://openalex.org/W2406187967","https://openalex.org/W2476001438","https://openalex.org/W2525778437","https://openalex.org/W2619824656","https://openalex.org/W2786672974","https://openalex.org/W2896457183","https://openalex.org/W2949547296","https://openalex.org/W2963341956","https://openalex.org/W2963403868","https://openalex.org/W2965373594","https://openalex.org/W3001465255","https://openalex.org/W3014900991","https://openalex.org/W3015705600","https://openalex.org/W3017257354","https://openalex.org/W3021829213","https://openalex.org/W3032112198","https://openalex.org/W3041699688","https://openalex.org/W3042262243","https://openalex.org/W3043095242","https://openalex.org/W3056160409","https://openalex.org/W3081633611","https://openalex.org/W3087924281","https://openalex.org/W3088268279","https://openalex.org/W3090154305","https://openalex.org/W3094221957","https://openalex.org/W3097720646","https://openalex.org/W3105951585","https://openalex.org/W3106796550","https://openalex.org/W3124144456","https://openalex.org/W3135383994","https://openalex.org/W3144750446","https://openalex.org/W3152231500","https://openalex.org/W4233906183","https://openalex.org/W4287687124","https://openalex.org/W4385245566","https://openalex.org/W6679775712","https://openalex.org/W6739901393","https://openalex.org/W6748816842","https://openalex.org/W6755207826","https://openalex.org/W6766673545","https://openalex.org/W6781923719","https://openalex.org/W6785682117"],"related_works":["https://openalex.org/W4200329650","https://openalex.org/W3127156785","https://openalex.org/W3009669391","https://openalex.org/W4205215807","https://openalex.org/W3005417802","https://openalex.org/W3049446289","https://openalex.org/W3171943759","https://openalex.org/W4226296940","https://openalex.org/W3028835529","https://openalex.org/W3036314732"],"abstract_inverted_index":{"Newspapers":[0],"are":[1,49,148],"very":[2],"important":[3],"for":[4,82],"a":[5,64],"society":[6],"as":[7,37,60],"they":[8,18],"inform":[9],"citizens":[10],"about":[11,56],"the":[12,31,38,43,54,61,79,83,106,112,151,174,178,183,190],"events":[13],"around":[14],"them":[15],"and":[16,28,70,75,91,95,121,130,135,146,154,173],"how":[17],"can":[19,101],"impact":[20],"their":[21],"life.":[22],"Their":[23],"importance":[24],"becomes":[25],"more":[26,115],"crucial":[27],"indispensable":[29],"in":[30],"times":[32],"of":[33,45,63,67,89,114,150,193],"health":[34],"crisis":[35],"such":[36,59],"current":[39],"COVID-19":[40,107,118],"pandemic.":[41,108],"Since":[42],"starting":[44],"this":[46,86],"pandemic":[47],"newspapers":[48],"providing":[50],"rich":[51],"information":[52,76],"to":[53,78],"public":[55],"various":[57,99],"issues":[58],"discovery":[62],"new":[65],"strain":[66],"coronavirus,":[68],"lockdown":[69],"other":[71],"restrictions,":[72],"government":[73],"policies,":[74],"related":[77],"vaccine":[80],"development":[81],"same.":[84],"In":[85,109],"scenario,":[87],"analysis":[88,175],"emergent":[90],"widely":[92,155],"reported":[93,156],"topics/themes/issues":[94],"associated":[96],"sentiments":[97],"from":[98],"countries":[100],"help":[102],"us":[103],"better":[104],"understand":[105],"our":[110,165,186],"research,":[111],"database":[113],"than":[116],"100,000":[117],"news":[119],"headlines":[120],"articles":[122],"were":[123],"analyzed":[124],"using":[125],"top2vec":[126],"(for":[127,132],"topic":[128,138],"modeling)":[129],"RoBERTa":[131],"sentiment":[133,166],"classification":[134,167],"analysis).":[136],"Our":[137],"modeling":[139],"results":[140],"highlighted":[141],"that":[142,177],"education,":[143],"economy,":[144],"US,":[145],"sports":[147],"some":[149],"most":[152],"common":[153],"themes":[157],"across":[158],"UK,":[159],"India,":[160],"Japan,":[161],"South":[162],"Korea.":[163],"Further,":[164],"model":[168],"achieved":[169],"90%":[170],"validation":[171],"accuracy":[172],"showed":[176],"worst":[179],"affected":[180],"country,":[181],"i.e.":[182],"UK":[184],"(in":[185],"dataset)":[187],"also":[188],"has":[189],"highest":[191],"percentage":[192],"negative":[194],"sentiment.":[195]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":17},{"year":2024,"cited_by_count":21},{"year":2023,"cited_by_count":33},{"year":2022,"cited_by_count":45},{"year":2021,"cited_by_count":14}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2021-03-15T00:00:00"}
