{"id":"https://openalex.org/W4382631415","doi":"https://doi.org/10.3233/shti230554","title":"Mining Greek Tweets on Long COVID Using Sentiment Analysis and Topic Modeling","display_name":"Mining Greek Tweets on Long COVID Using Sentiment Analysis and Topic Modeling","publication_year":2023,"publication_date":"2023-06-29","ids":{"openalex":"https://openalex.org/W4382631415","doi":"https://doi.org/10.3233/shti230554","pmid":"https://pubmed.ncbi.nlm.nih.gov/37387088"},"language":"en","primary_location":{"id":"doi:10.3233/shti230554","is_oa":true,"landing_page_url":"https://doi.org/10.3233/shti230554","pdf_url":"https://ebooks.iospress.nl/pdf/doi/10.3233/SHTI230554","source":{"id":"https://openalex.org/S4210179765","display_name":"Studies in health technology and informatics","issn_l":"0926-9630","issn":["0926-9630","1879-8365"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"book series"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Studies in Health Technology and Informatics","raw_type":"book-chapter"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://ebooks.iospress.nl/pdf/doi/10.3233/SHTI230554","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5058283008","display_name":"Afroditi Katika","orcid":null},"institutions":[{"id":"https://openalex.org/I154757721","display_name":"University of Piraeus","ror":"https://ror.org/02qs84g94","country_code":"GR","type":"education","lineage":["https://openalex.org/I154757721"]},{"id":"https://openalex.org/I200777214","display_name":"National and Kapodistrian University of Athens","ror":"https://ror.org/04gnjpq42","country_code":"GR","type":"education","lineage":["https://openalex.org/I200777214"]}],"countries":["GR"],"is_corresponding":true,"raw_author_name":"Afroditi Katika","raw_affiliation_strings":["Department of Digital Systems, School of Information and Communication Technologies, University of Piraeus, Piraeus, Greece","Faculty of Nursing, National and Kapodistrian University of Athens, Athens, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Digital Systems, School of Information and Communication Technologies, University of Piraeus, Piraeus, Greece","institution_ids":["https://openalex.org/I154757721"]},{"raw_affiliation_string":"Faculty of Nursing, National and Kapodistrian University of Athens, Athens, Greece","institution_ids":["https://openalex.org/I200777214"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031958016","display_name":"Emmanouil Zoulias","orcid":"https://orcid.org/0000-0002-1953-3267"},"institutions":[{"id":"https://openalex.org/I200777214","display_name":"National and Kapodistrian University of Athens","ror":"https://ror.org/04gnjpq42","country_code":"GR","type":"education","lineage":["https://openalex.org/I200777214"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Emmanouil Zoulias","raw_affiliation_strings":["Faculty of Nursing, National and Kapodistrian University of Athens, Athens, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Nursing, National and Kapodistrian University of Athens, Athens, Greece","institution_ids":["https://openalex.org/I200777214"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058251256","display_name":"Vassiliki Koufi","orcid":"https://orcid.org/0000-0003-4377-9571"},"institutions":[{"id":"https://openalex.org/I154757721","display_name":"University of Piraeus","ror":"https://ror.org/02qs84g94","country_code":"GR","type":"education","lineage":["https://openalex.org/I154757721"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Vassiliki Koufi","raw_affiliation_strings":["Department of Digital Systems, School of Information and Communication Technologies, University of Piraeus, Piraeus, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Digital Systems, School of Information and Communication Technologies, University of Piraeus, Piraeus, Greece","institution_ids":["https://openalex.org/I154757721"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036445126","display_name":"Flora Malamateniou","orcid":null},"institutions":[{"id":"https://openalex.org/I200777214","display_name":"National and Kapodistrian University of Athens","ror":"https://ror.org/04gnjpq42","country_code":"GR","type":"education","lineage":["https://openalex.org/I200777214"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Flora Malamateniou","raw_affiliation_strings":["Faculty of Nursing, National and Kapodistrian University of Athens, Athens, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Nursing, National and Kapodistrian University of Athens, Athens, Greece","institution_ids":["https://openalex.org/I200777214"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5058283008"],"corresponding_institution_ids":["https://openalex.org/I154757721","https://openalex.org/I200777214"],"apc_list":null,"apc_paid":null,"fwci":23.9071,"has_fulltext":true,"cited_by_count":12,"citation_normalized_percentile":{"value":0.99438202,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":"305","issue":null,"first_page":"545","last_page":"548"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11368","display_name":"Long-Term Effects of COVID-19","score":0.9369000196456909,"subfield":{"id":"https://openalex.org/subfields/2728","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T11368","display_name":"Long-Term Effects of COVID-19","score":0.9369000196456909,"subfield":{"id":"https://openalex.org/subfields/2728","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9269000291824341,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T11243","display_name":"Respiratory viral infections research","score":0.9028000235557556,"subfield":{"id":"https://openalex.org/subfields/2713","display_name":"Epidemiology"},"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/coronavirus-disease-2019","display_name":"Coronavirus disease 2019 (COVID-19)","score":0.8391942977905273},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.8086978197097778},{"id":"https://openalex.org/keywords/feeling","display_name":"Feeling","score":0.7334710359573364},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.668485164642334},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.5621917247772217},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.4575047492980957},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.43405431509017944},{"id":"https://openalex.org/keywords/2019-20-coronavirus-outbreak","display_name":"2019-20 coronavirus outbreak","score":0.43013426661491394},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.38140901923179626},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.37612688541412354},{"id":"https://openalex.org/keywords/internet-privacy","display_name":"Internet privacy","score":0.35868972539901733},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.2338351607322693},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.21738487482070923},{"id":"https://openalex.org/keywords/sociology","display_name":"Sociology","score":0.19791877269744873},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.16656750440597534},{"id":"https://openalex.org/keywords/social-psychology","display_name":"Social psychology","score":0.16485151648521423},{"id":"https://openalex.org/keywords/disease","display_name":"Disease","score":0.13927021622657776},{"id":"https://openalex.org/keywords/demography","display_name":"Demography","score":0.07911792397499084}],"concepts":[{"id":"https://openalex.org/C3008058167","wikidata":"https://www.wikidata.org/wiki/Q84263196","display_name":"Coronavirus disease 2019 (COVID-19)","level":4,"score":0.8391942977905273},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.8086978197097778},{"id":"https://openalex.org/C122980154","wikidata":"https://www.wikidata.org/wiki/Q205555","display_name":"Feeling","level":2,"score":0.7334710359573364},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.668485164642334},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.5621917247772217},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.4575047492980957},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.43405431509017944},{"id":"https://openalex.org/C3006700255","wikidata":"https://www.wikidata.org/wiki/Q81068910","display_name":"2019-20 coronavirus outbreak","level":3,"score":0.43013426661491394},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.38140901923179626},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.37612688541412354},{"id":"https://openalex.org/C108827166","wikidata":"https://www.wikidata.org/wiki/Q175975","display_name":"Internet privacy","level":1,"score":0.35868972539901733},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.2338351607322693},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.21738487482070923},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.19791877269744873},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.16656750440597534},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.16485151648521423},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.13927021622657776},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.07911792397499084},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C159047783","wikidata":"https://www.wikidata.org/wiki/Q7215","display_name":"Virology","level":1,"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},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000086382","descriptor_name":"COVID-19","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000086382","descriptor_name":"COVID-19","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000086382","descriptor_name":"COVID-19","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000086663","descriptor_name":"COVID-19 Vaccines","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000086663","descriptor_name":"COVID-19 Vaccines","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000086663","descriptor_name":"COVID-19 Vaccines","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000090042","descriptor_name":"Sentiment Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000090042","descriptor_name":"Sentiment Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000090042","descriptor_name":"Sentiment Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000094024","descriptor_name":"Post-Acute COVID-19 Syndrome","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000094024","descriptor_name":"Post-Acute COVID-19 Syndrome","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000094024","descriptor_name":"Post-Acute COVID-19 Syndrome","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D002648","descriptor_name":"Child","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D002648","descriptor_name":"Child","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D002648","descriptor_name":"Child","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006115","descriptor_name":"Greece","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006115","descriptor_name":"Greece","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006115","descriptor_name":"Greece","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.3233/shti230554","is_oa":true,"landing_page_url":"https://doi.org/10.3233/shti230554","pdf_url":"https://ebooks.iospress.nl/pdf/doi/10.3233/SHTI230554","source":{"id":"https://openalex.org/S4210179765","display_name":"Studies in health technology and informatics","issn_l":"0926-9630","issn":["0926-9630","1879-8365"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"book series"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Studies in Health Technology and Informatics","raw_type":"book-chapter"},{"id":"pmid:37387088","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37387088","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":"Studies in health technology and informatics","raw_type":null}],"best_oa_location":{"id":"doi:10.3233/shti230554","is_oa":true,"landing_page_url":"https://doi.org/10.3233/shti230554","pdf_url":"https://ebooks.iospress.nl/pdf/doi/10.3233/SHTI230554","source":{"id":"https://openalex.org/S4210179765","display_name":"Studies in health technology and informatics","issn_l":"0926-9630","issn":["0926-9630","1879-8365"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"book series"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Studies in Health Technology and Informatics","raw_type":"book-chapter"},"sustainable_development_goals":[{"score":0.4399999976158142,"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4382631415.pdf"},"referenced_works_count":7,"referenced_works":["https://openalex.org/W2953320089","https://openalex.org/W3080175947","https://openalex.org/W3213662918","https://openalex.org/W4281697566","https://openalex.org/W4283010519","https://openalex.org/W4285066413","https://openalex.org/W4306150758"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2291261743","https://openalex.org/W1540119434","https://openalex.org/W4229598134","https://openalex.org/W2071657884","https://openalex.org/W4285126926","https://openalex.org/W2290390358","https://openalex.org/W2765982327","https://openalex.org/W213396585","https://openalex.org/W4285678604"],"abstract_inverted_index":{"Around":[0],"10%":[1],"to":[2,17,26,53,83,128],"20%":[3],"of":[4,62,98,132],"patients":[5],"experience":[6],"Long":[7,33,66,77,85],"COVID":[8,78,86],"after":[9],"recovering":[10],"from":[11,121,125],"COVID-19.":[12],"Many":[13],"people":[14],"are":[15],"turning":[16],"social":[18,126],"networks":[19],"such":[20],"as":[21],"Facebook,":[22],"WhatsApp,":[23],"Twitter,":[24],"etc.,":[25],"express":[27],"their":[28],"opinions":[29],"and":[30,58,80,94,136],"feelings":[31],"regarding":[32,65],"COVID.":[34,67],"In":[35],"this":[36],"paper,":[37],"we":[38],"analyse":[39],"text":[40],"messages":[41],"in":[42,51,88],"the":[43,48,60,70,106],"Greek":[44,63],"language":[45],"posted":[46],"on":[47],"Twitter":[49],"platform":[50],"2022":[52],"extract":[54],"popular":[55],"discussion":[56,72],"topics":[57],"classify":[59],"sentiment":[61,104],"citizens":[64],"Results":[68],"highlighted":[69],"following":[71],"topics:":[73],"Greek-speaking":[74],"users":[75],"discuss":[76],"effects":[79,87],"time":[81],"required":[82],"heal,":[84],"specific":[89],"population":[90],"groups":[91],"like":[92],"children":[93],"COVID-19":[95],"vaccines.":[96],"59%":[97],"analysed":[99],"tweets":[100],"conveyed":[101],"a":[102,133],"negative":[103],"while":[105],"rest":[107],"had":[108],"positive":[109],"or":[110],"neutral":[111],"sentiment.":[112],"The":[113],"analysis":[114],"shows":[115],"that":[116],"public":[117],"bodies":[118],"could":[119],"benefit":[120],"systematically":[122],"mining":[123],"knowledge":[124],"media":[127],"understand":[129],"public's":[130],"perception":[131],"new":[134],"disease":[135],"take":[137],"action.":[138]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":3}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}