{"id":"https://openalex.org/W4393618145","doi":"https://doi.org/10.5281/zenodo.4748715","title":"Large Dataset of Nigeria Covid-19 Tweets for Sentiment Analysis and Opinion Mining Tasks","display_name":"Large Dataset of Nigeria Covid-19 Tweets for Sentiment Analysis and Opinion Mining Tasks","publication_year":2022,"publication_date":"2022-08-18","ids":{"openalex":"https://openalex.org/W4393618145","doi":"https://doi.org/10.5281/zenodo.4748715"},"language":"en","primary_location":{"id":"pmh:oai:zenodo.org:4748715","is_oa":true,"landing_page_url":"https://zenodo.org/record/4748715","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/other"},"type":"dataset","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://zenodo.org/record/4748715","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5017416736","display_name":"Adebayo Abayomi\u2010Alli","orcid":"https://orcid.org/0000-0002-3875-1606"},"institutions":[{"id":"https://openalex.org/I18045400","display_name":"Federal University of Agriculture","ror":"https://ror.org/050s1zm26","country_code":"NG","type":"education","lineage":["https://openalex.org/I18045400"]}],"countries":["NG"],"is_corresponding":true,"raw_author_name":"Adebayo, Abayomi-Alli Adewumi","raw_affiliation_strings":["Federal University of Agriculture, Abeokuta, Nigeria"],"raw_orcid":"https://orcid.org/0000-0002-3875-1606","affiliations":[{"raw_affiliation_string":"Federal University of Agriculture, Abeokuta, Nigeria","institution_ids":["https://openalex.org/I18045400"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016672987","display_name":"Odeyinka Abiola","orcid":"https://orcid.org/0009-0008-4199-2540"},"institutions":[{"id":"https://openalex.org/I18045400","display_name":"Federal University of Agriculture","ror":"https://ror.org/050s1zm26","country_code":"NG","type":"education","lineage":["https://openalex.org/I18045400"]}],"countries":["NG"],"is_corresponding":false,"raw_author_name":"Odeyinka Abiola","raw_affiliation_strings":["Federal University of Agriculture, Abeokuta, Nigeria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Federal University of Agriculture, Abeokuta, Nigeria","institution_ids":["https://openalex.org/I18045400"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048688201","display_name":"Oluwasefunmi Arogundade","orcid":"https://orcid.org/0000-0001-9338-491X"},"institutions":[{"id":"https://openalex.org/I18045400","display_name":"Federal University of Agriculture","ror":"https://ror.org/050s1zm26","country_code":"NG","type":"education","lineage":["https://openalex.org/I18045400"]}],"countries":["NG"],"is_corresponding":false,"raw_author_name":"Tale, Arogundade Oluwasefunmi","raw_affiliation_strings":["Federal University of Agriculture, Abeokuta, Nigeria"],"raw_orcid":"https://orcid.org/0000-0001-9338-491X","affiliations":[{"raw_affiliation_string":"Federal University of Agriculture, Abeokuta, Nigeria","institution_ids":["https://openalex.org/I18045400"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114142428","display_name":"Misra Sanjah","orcid":null},"institutions":[{"id":"https://openalex.org/I19923696","display_name":"\u00d8stfold University College","ror":"https://ror.org/04gf7fp41","country_code":"NO","type":"education","lineage":["https://openalex.org/I19923696"]}],"countries":["NO"],"is_corresponding":false,"raw_author_name":"Sanjah, Misra","raw_affiliation_strings":["Department of Computer Science and Communication, \u00d8stfold University College, 1757 Halden, Norway"],"raw_orcid":"https://orcid.org/0000-0002-3556-9331","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Communication, \u00d8stfold University College, 1757 Halden, Norway","institution_ids":["https://openalex.org/I19923696"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032655161","display_name":"Olusola Abayomi\u2010Alli","orcid":"https://orcid.org/0000-0003-2513-5318"},"institutions":[{"id":"https://openalex.org/I172574986","display_name":"Kaunas University of Technology","ror":"https://ror.org/01me6gb93","country_code":"LT","type":"education","lineage":["https://openalex.org/I172574986"]}],"countries":["LT"],"is_corresponding":false,"raw_author_name":"Oluwakemi, Abayomi-Alli Olusola","raw_affiliation_strings":["Department of Software Engineering, Kaunas University of Technology, 44249 Kaunas, Lithuania"],"raw_orcid":"https://orcid.org/0000-0003-2513-5318","affiliations":[{"raw_affiliation_string":"Department of Software Engineering, Kaunas University of Technology, 44249 Kaunas, Lithuania","institution_ids":["https://openalex.org/I172574986"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5017416736"],"corresponding_institution_ids":["https://openalex.org/I18045400"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9939000010490417,"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":0.9939000010490417,"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":0.9772999882698059,"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/T12262","display_name":"Hate Speech and Cyberbullying Detection","score":0.9262999892234802,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.8820348978042603},{"id":"https://openalex.org/keywords/coronavirus-disease-2019","display_name":"Coronavirus disease 2019 (COVID-19)","score":0.7662481665611267},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4538896381855011},{"id":"https://openalex.org/keywords/2019-20-coronavirus-outbreak","display_name":"2019-20 coronavirus outbreak","score":0.4375002980232239},{"id":"https://openalex.org/keywords/severe-acute-respiratory-syndrome-coronavirus-2","display_name":"Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)","score":0.43134790658950806},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4095503091812134},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3666800856590271},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3266593813896179},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.06907102465629578},{"id":"https://openalex.org/keywords/virology","display_name":"Virology","score":0.05199792981147766}],"concepts":[{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.8820348978042603},{"id":"https://openalex.org/C3008058167","wikidata":"https://www.wikidata.org/wiki/Q84263196","display_name":"Coronavirus disease 2019 (COVID-19)","level":4,"score":0.7662481665611267},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4538896381855011},{"id":"https://openalex.org/C3006700255","wikidata":"https://www.wikidata.org/wiki/Q81068910","display_name":"2019-20 coronavirus outbreak","level":3,"score":0.4375002980232239},{"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":0.43134790658950806},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4095503091812134},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3666800856590271},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3266593813896179},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.06907102465629578},{"id":"https://openalex.org/C159047783","wikidata":"https://www.wikidata.org/wiki/Q7215","display_name":"Virology","level":1,"score":0.05199792981147766},{"id":"https://openalex.org/C116675565","wikidata":"https://www.wikidata.org/wiki/Q3241045","display_name":"Outbreak","level":2,"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/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","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":2,"locations":[{"id":"pmh:oai:zenodo.org:4748715","is_oa":true,"landing_page_url":"https://zenodo.org/record/4748715","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/other"},{"id":"doi:10.5281/zenodo.4748715","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.4748715","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"dataset"}],"best_oa_location":{"id":"pmh:oai:zenodo.org:4748715","is_oa":true,"landing_page_url":"https://zenodo.org/record/4748715","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/other"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W3036314732","https://openalex.org/W3009669391","https://openalex.org/W4382894326","https://openalex.org/W3198183218","https://openalex.org/W3171943759","https://openalex.org/W3176864053","https://openalex.org/W4206669628","https://openalex.org/W4292098121","https://openalex.org/W3154141118","https://openalex.org/W4388896133"],"abstract_inverted_index":{"<strong>Background</strong>":[0],"Information":[1],"is":[2,285],"essential":[3],"for":[4,65,118,161,169],"growth;":[5],"without":[6],"it,":[7],"little":[8],"can":[9],"be":[10,113,243,312],"accomplished.":[11],"Data":[12],"gathering":[13],"has":[14,104,303],"seen":[15],"significant":[16,292],"changes":[17],"throughout":[18],"the":[19,38,86,188,201,216,219,252,265,272,295],"previous":[20],"few":[21,62],"centuries":[22],"because":[23],"of":[24,32,40,46,96,200,218,236,268,276,282,294],"certain":[25],"transitory":[26],"medium.":[27],"The":[28,138,149,184,198],"look":[29],"and":[30,42,53,58,75,100,121,134,157,165,171,207,211,225,229,249,256,263,274],"style":[31],"information":[33,238],"transference":[34],"are":[35,48,51,56],"affected":[36],"by":[37],"employment":[39],"new":[41],"emerging":[43],"technologies,":[44],"some":[45,307],"which":[47],"efficient,":[49],"others":[50],"reliable,":[52],"many":[54],"more":[55],"quick":[57],"effective,":[59],"but":[60],"a":[61,97,114,154,291,300],"were":[63,151,167,191],"disappointing":[64],"various":[66],"reasons.":[67],"<strong>Aims</strong>":[68],"This":[69,110],"study":[70,111],"aims":[71],"at":[72],"using":[73,193],"TextBlob":[74,166,220],"VADER":[76,202],"analyser":[77],"with":[78,153,179,280,288],"historical":[79],"tweets,":[80],"to":[81,85,125,143,245,261,305],"analyse":[82],"emotional":[83],"responses":[84],"corona":[87],"virus":[88,301],"pandemic":[89],"(covid-19).":[90],"It":[91,284],"shows":[92],"us":[93],"how":[94,260],"much":[95],"sociological,":[98],"environmental,":[99],"economic":[101],"impact":[102],"it":[103,309],"in":[105,127],"Nigeria,":[106],"among":[107],"other":[108,189],"things.":[109],"would":[112],"tremendous":[115],"step":[116],"forward":[117],"students,":[119],"researchers,":[120],"scholars":[122],"who":[123],"want":[124],"advance":[126],"fields":[128],"like":[129],"data":[130],"science,":[131],"machine":[132],"learning,":[133],"deep":[135],"learning.":[136],"<strong>Methodology</strong>":[137],"hashtag":[139],"\u2018covid-19'":[140],"was":[141,177],"used":[142,168,244],"collect":[144],"1,048,575":[145],"tweets":[146,150],"from":[147,239],"Twitter.":[148],"pre-processed":[152],"twitter":[155],"tokenizer,":[156],"Valence":[158],"Aware":[159],"Dictionary":[160],"Sentiment":[162],"Reasoning":[163],"(VADER)":[164],"sentiment":[170,203,213,221],"text":[172],"mining,":[173],"respectively.":[174,232],"Topic":[175],"modelling":[176],"done":[178],"Latent":[180],"Dirichlet":[181],"Allocation":[182],"(LDA).":[183],"simulated":[185],"subjects,":[186],"on":[187],"hand,":[190],"visualized":[192],"Multidimensional":[194],"scaling":[195],"(MDS).":[196],"<strong>Results</strong>":[197],"result":[199,217],"returned":[204,222],"39.8%,":[205],"31.3%":[206],"28.9%,":[208],"positive,":[209,228],"neutral,":[210,227],"negative":[212,230,266],"respectively":[214],"while":[215],"46.0%,":[223],"36.7%":[224],"17.3%,":[226],"sentiment,":[231],"<strong>Conclusion</strong>":[233],"With":[234],"all":[235],"this,":[237],"social":[240],"media":[241],"may":[242],"help":[246],"organizations,":[247],"governments,":[248],"nations":[250],"around":[251],"world":[253],"make":[254],"smart":[255],"effective":[257],"decisions":[258],"about":[259],"restrict":[262],"limit":[264],"effects":[267],"covid-19.":[269],"Also":[270],"know":[271],"opinion":[273],"challenges":[275],"people,":[277],"then":[278],"deal":[279],"problem":[281],"misinformation.":[283],"concluded":[286],"that":[287,302],"popular":[289],"belief":[290],"number":[293],"populace":[296],"regards":[297],"covid-19":[298],"as":[299],"come":[304],"stay,":[306],"believe":[308],"will":[310],"eventually":[311],"conquered.":[313]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}