{"id":"https://openalex.org/W4378905983","doi":"https://doi.org/10.1007/s00521-023-08662-2","title":"Analysing sentiment change detection of Covid-19 tweets","display_name":"Analysing sentiment change detection of Covid-19 tweets","publication_year":2023,"publication_date":"2023-05-31","ids":{"openalex":"https://openalex.org/W4378905983","doi":"https://doi.org/10.1007/s00521-023-08662-2","pmid":"https://pubmed.ncbi.nlm.nih.gov/37362564"},"language":"en","primary_location":{"id":"doi:10.1007/s00521-023-08662-2","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s00521-023-08662-2","pdf_url":"https://link.springer.com/content/pdf/10.1007/s00521-023-08662-2.pdf","source":{"id":"https://openalex.org/S147897268","display_name":"Neural Computing and Applications","issn_l":"0941-0643","issn":["0941-0643","1433-3058"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural Computing and Applications","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s00521-023-08662-2.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5075066824","display_name":"Panagiotis C. Theocharopoulos","orcid":"https://orcid.org/0000-0002-8607-5518"},"institutions":[{"id":"https://openalex.org/I145722265","display_name":"University of Thessaly","ror":"https://ror.org/04v4g9h31","country_code":"GR","type":"education","lineage":["https://openalex.org/I145722265"]}],"countries":["GR"],"is_corresponding":true,"raw_author_name":"Panagiotis C. Theocharopoulos","raw_affiliation_strings":["Department of Computer Science and Biomedical Informatics, University of Thessaly, Lamia, Greece"],"raw_orcid":"https://orcid.org/0000-0002-8607-5518","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Biomedical Informatics, University of Thessaly, Lamia, Greece","institution_ids":["https://openalex.org/I145722265"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039854192","display_name":"Anastasia Tsoukala","orcid":null},"institutions":[{"id":"https://openalex.org/I145722265","display_name":"University of Thessaly","ror":"https://ror.org/04v4g9h31","country_code":"GR","type":"education","lineage":["https://openalex.org/I145722265"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Anastasia Tsoukala","raw_affiliation_strings":["Department of Computer Science and Biomedical Informatics, University of Thessaly, Lamia, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Biomedical Informatics, University of Thessaly, Lamia, Greece","institution_ids":["https://openalex.org/I145722265"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085640042","display_name":"Spiros V. Georgakopoulos","orcid":"https://orcid.org/0000-0002-3374-0422"},"institutions":[{"id":"https://openalex.org/I145722265","display_name":"University of Thessaly","ror":"https://ror.org/04v4g9h31","country_code":"GR","type":"education","lineage":["https://openalex.org/I145722265"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Spiros V. Georgakopoulos","raw_affiliation_strings":["Department of Mathematics, University of Thessaly, Lamia, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematics, University of Thessaly, Lamia, Greece","institution_ids":["https://openalex.org/I145722265"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039205111","display_name":"Sotiris K. Tasoulis","orcid":"https://orcid.org/0000-0001-9536-4090"},"institutions":[{"id":"https://openalex.org/I145722265","display_name":"University of Thessaly","ror":"https://ror.org/04v4g9h31","country_code":"GR","type":"education","lineage":["https://openalex.org/I145722265"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Sotiris K. Tasoulis","raw_affiliation_strings":["Department of Computer Science and Biomedical Informatics, University of Thessaly, Lamia, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Biomedical Informatics, University of Thessaly, Lamia, Greece","institution_ids":["https://openalex.org/I145722265"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111235416","display_name":"Vassilis P. Plagianakos","orcid":"https://orcid.org/0000-0002-4266-701X"},"institutions":[{"id":"https://openalex.org/I145722265","display_name":"University of Thessaly","ror":"https://ror.org/04v4g9h31","country_code":"GR","type":"education","lineage":["https://openalex.org/I145722265"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Vassilis P. Plagianakos","raw_affiliation_strings":["Department of Computer Science and Biomedical Informatics, University of Thessaly, Lamia, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Biomedical Informatics, University of Thessaly, Lamia, Greece","institution_ids":["https://openalex.org/I145722265"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5075066824"],"corresponding_institution_ids":["https://openalex.org/I145722265"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":{"value":2390,"currency":"EUR","value_usd":2990},"fwci":1.1929,"has_fulltext":true,"cited_by_count":7,"citation_normalized_percentile":{"value":0.8267567,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"35","issue":"29","first_page":"21433","last_page":"21443"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9998000264167786,"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":0.9998000264167786,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9975000023841858,"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":0.9965000152587891,"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/coronavirus-disease-2019","display_name":"Coronavirus disease 2019 (COVID-19)","score":0.7914328575134277},{"id":"https://openalex.org/keywords/computational-science-and-engineering","display_name":"Computational Science and Engineering","score":0.7611427307128906},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.6501755714416504},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5862302184104919},{"id":"https://openalex.org/keywords/change-detection","display_name":"Change detection","score":0.545886754989624},{"id":"https://openalex.org/keywords/2019-20-coronavirus-outbreak","display_name":"2019-20 coronavirus outbreak","score":0.5275734663009644},{"id":"https://openalex.org/keywords/severe-acute-respiratory-syndrome-coronavirus-2","display_name":"Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)","score":0.5246363282203674},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.355379581451416},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3356017470359802},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.22394007444381714},{"id":"https://openalex.org/keywords/virology","display_name":"Virology","score":0.11536857485771179},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.0676298439502716}],"concepts":[{"id":"https://openalex.org/C3008058167","wikidata":"https://www.wikidata.org/wiki/Q84263196","display_name":"Coronavirus disease 2019 (COVID-19)","level":4,"score":0.7914328575134277},{"id":"https://openalex.org/C68597687","wikidata":"https://www.wikidata.org/wiki/Q362601","display_name":"Computational Science and Engineering","level":2,"score":0.7611427307128906},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.6501755714416504},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5862302184104919},{"id":"https://openalex.org/C203595873","wikidata":"https://www.wikidata.org/wiki/Q25389927","display_name":"Change detection","level":2,"score":0.545886754989624},{"id":"https://openalex.org/C3006700255","wikidata":"https://www.wikidata.org/wiki/Q81068910","display_name":"2019-20 coronavirus outbreak","level":3,"score":0.5275734663009644},{"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":0.5246363282203674},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.355379581451416},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3356017470359802},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.22394007444381714},{"id":"https://openalex.org/C159047783","wikidata":"https://www.wikidata.org/wiki/Q7215","display_name":"Virology","level":1,"score":0.11536857485771179},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0676298439502716},{"id":"https://openalex.org/C524204448","wikidata":"https://www.wikidata.org/wiki/Q788926","display_name":"Infectious disease (medical specialty)","level":3,"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/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}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1007/s00521-023-08662-2","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s00521-023-08662-2","pdf_url":"https://link.springer.com/content/pdf/10.1007/s00521-023-08662-2.pdf","source":{"id":"https://openalex.org/S147897268","display_name":"Neural Computing and Applications","issn_l":"0941-0643","issn":["0941-0643","1433-3058"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural Computing and Applications","raw_type":"journal-article"},{"id":"pmid:37362564","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37362564","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":"Neural computing & applications","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:10230484","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/10230484","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC10230484/pdf/521_2023_Article_8662.pdf","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":"Neural Comput Appl","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1007/s00521-023-08662-2","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s00521-023-08662-2","pdf_url":"https://link.springer.com/content/pdf/10.1007/s00521-023-08662-2.pdf","source":{"id":"https://openalex.org/S147897268","display_name":"Neural Computing and Applications","issn_l":"0941-0643","issn":["0941-0643","1433-3058"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural Computing and Applications","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.6899999976158142,"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3"}],"awards":[{"id":"https://openalex.org/G1337233005","display_name":null,"funder_award_id":"NSRF 2014-2020","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G4406137278","display_name":null,"funder_award_id":"MIS 5047244","funder_id":"https://openalex.org/F4320335322","funder_display_name":"European Regional Development Fund"},{"id":"https://openalex.org/G5634946813","display_name":null,"funder_award_id":"2014-2020","funder_id":"https://openalex.org/F4320335322","funder_display_name":"European Regional Development Fund"},{"id":"https://openalex.org/G6870533126","display_name":null,"funder_award_id":"2014-2020","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G718373787","display_name":null,"funder_award_id":"5047244","funder_id":"https://openalex.org/F4320335322","funder_display_name":"European Regional Development Fund"},{"id":"https://openalex.org/G7538097724","display_name":null,"funder_award_id":"NSRF 2014-2020","funder_id":"https://openalex.org/F4320335322","funder_display_name":"European Regional Development Fund"}],"funders":[{"id":"https://openalex.org/F4320309480","display_name":"Nvidia","ror":"https://ror.org/03jdj4y14"},{"id":"https://openalex.org/F4320318628","display_name":"Hellenic Academic Libraries Link","ror":null},{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"},{"id":"https://openalex.org/F4320335322","display_name":"European Regional Development Fund","ror":"https://ror.org/00k4n6c32"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4378905983.pdf"},"referenced_works_count":44,"referenced_works":["https://openalex.org/W1975684011","https://openalex.org/W2019759670","https://openalex.org/W2096044513","https://openalex.org/W2182264243","https://openalex.org/W2336012390","https://openalex.org/W2515822248","https://openalex.org/W2796337414","https://openalex.org/W2909693411","https://openalex.org/W2939436813","https://openalex.org/W2963748066","https://openalex.org/W3008012010","https://openalex.org/W3034440394","https://openalex.org/W3037163353","https://openalex.org/W3081689004","https://openalex.org/W3093399924","https://openalex.org/W3100578812","https://openalex.org/W3106973085","https://openalex.org/W3118864362","https://openalex.org/W3127056209","https://openalex.org/W3129318751","https://openalex.org/W3136546421","https://openalex.org/W3146682110","https://openalex.org/W3155386575","https://openalex.org/W3159711853","https://openalex.org/W3168865200","https://openalex.org/W3170737807","https://openalex.org/W3171449285","https://openalex.org/W3187341546","https://openalex.org/W3187638456","https://openalex.org/W3192975746","https://openalex.org/W3197439129","https://openalex.org/W3216919363","https://openalex.org/W4200192202","https://openalex.org/W4205184193","https://openalex.org/W4205744828","https://openalex.org/W4207039502","https://openalex.org/W4280515006","https://openalex.org/W4281750128","https://openalex.org/W4285215360","https://openalex.org/W4287146875","https://openalex.org/W4292947576","https://openalex.org/W4309080199","https://openalex.org/W6702248584","https://openalex.org/W6888509485"],"related_works":["https://openalex.org/W4200329650","https://openalex.org/W3127156785","https://openalex.org/W3009669391","https://openalex.org/W4206669628","https://openalex.org/W4205317059","https://openalex.org/W3005417802","https://openalex.org/W3084498529","https://openalex.org/W3171943759","https://openalex.org/W4226296940","https://openalex.org/W3036314732"],"abstract_inverted_index":{"The":[0],"Covid-19":[1],"pandemic":[2,188],"made":[3],"a":[4,26,78,129],"significant":[5],"impact":[6],"on":[7,171,192],"society,":[8],"including":[9],"the":[10,17,20,39,91,105,122,125,140,147,154,166,178,183,187,193],"widespread":[11],"implementation":[12],"of":[13,19,41,50,80,93,124,161,177,186],"lockdowns":[14],"to":[15,25,58,89,116,138],"prevent":[16],"spread":[18],"virus.":[21],"This":[22,70],"measure":[23],"led":[24],"decrease":[27],"in":[28,38,68,136,143],"face-to-face":[29],"social":[30,42,172],"interactions":[31],"and,":[32,111,174],"as":[33,46,96],"an":[34,36,73],"equivalent,":[35],"increase":[37],"use":[40],"media":[43,173],"platforms,":[44],"such":[45],"Twitter.":[47],"As":[48],"part":[49],"Industry":[51],"4.0,":[52],"sentiment":[53,92,114,169],"analysis":[54,74,120],"can":[55],"be":[56],"exploited":[57],"study":[59,165],"public":[60,144],"attitudes":[61,145],"toward":[62,146],"future":[63],"pandemics":[64],"and":[65,85,189],"sociopolitical":[66],"situations":[67],"general.":[69],"work":[71],"presents":[72],"framework":[75],"by":[76,152],"applying":[77],"combination":[79],"natural":[81],"language":[82],"processing":[83],"techniques":[84],"machine":[86],"learning":[87],"algorithms":[88],"classify":[90],"each":[94],"tweet":[95],"positive,":[97],"or":[98],"negative.":[99],"Through":[100],"extensive":[101],"experimentation,":[102],"we":[103,164],"expose":[104],"ideal":[106],"model":[107],"for":[108],"this":[109],"task":[110],"subsequently,":[112],"utilize":[113],"predictions":[115],"perform":[117],"time":[118],"series":[119],"over":[121],"course":[123],"pandemic.":[126],"In":[127],"addition,":[128],"change":[130],"point":[131],"detection":[132],"algorithm":[133],"was":[134],"applied":[135],"order":[137],"identify":[139],"turning":[141],"points":[142],"pandemic,":[148,179],"which":[149],"were":[150],"validated":[151],"cross-referencing":[153],"news":[155,175],"report":[156],"at":[157],"that":[158],"particular":[159],"period":[160],"time.":[162],"Finally,":[163],"relationship":[167],"between":[168],"trends":[170],"coverage":[176],"providing":[180],"insights":[181],"into":[182],"public's":[184],"perception":[185],"its":[190],"influence":[191],"news.":[194]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":2}],"updated_date":"2026-01-23T23:20:30.427331","created_date":"2025-10-10T00:00:00"}
