{"id":"https://openalex.org/W3133275718","doi":"https://doi.org/10.1109/besc51023.2020.9348291","title":"Sentiment, Count and Cases: Analysis of Twitter discussions during COVID-19 Pandemic","display_name":"Sentiment, Count and Cases: Analysis of Twitter discussions during COVID-19 Pandemic","publication_year":2020,"publication_date":"2020-11-05","ids":{"openalex":"https://openalex.org/W3133275718","doi":"https://doi.org/10.1109/besc51023.2020.9348291","mag":"3133275718"},"language":"en","primary_location":{"id":"doi:10.1109/besc51023.2020.9348291","is_oa":true,"landing_page_url":"https://doi.org/10.1109/besc51023.2020.9348291","pdf_url":"https://ieeexplore.ieee.org/ielx7/9348100/9348278/09348291.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 7th International Conference on Behavioural and Social Computing (BESC)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/9348100/9348278/09348291.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5016950695","display_name":"Zainab Tariq Soomro","orcid":null},"institutions":[{"id":"https://openalex.org/I207789805","display_name":"Lahore University of Management Sciences","ror":"https://ror.org/05b5x4a35","country_code":"PK","type":"education","lineage":["https://openalex.org/I207789805"]}],"countries":["PK"],"is_corresponding":true,"raw_author_name":"Zainab Tariq Soomro","raw_affiliation_strings":["Lahore University of Management Sciences"],"affiliations":[{"raw_affiliation_string":"Lahore University of Management Sciences","institution_ids":["https://openalex.org/I207789805"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034467888","display_name":"Sardar Haider Waseem Ilyas","orcid":null},"institutions":[{"id":"https://openalex.org/I207789805","display_name":"Lahore University of Management Sciences","ror":"https://ror.org/05b5x4a35","country_code":"PK","type":"education","lineage":["https://openalex.org/I207789805"]}],"countries":["PK"],"is_corresponding":false,"raw_author_name":"Sardar Haider Waseem Ilyas","raw_affiliation_strings":["Lahore University of Management Sciences"],"affiliations":[{"raw_affiliation_string":"Lahore University of Management Sciences","institution_ids":["https://openalex.org/I207789805"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075685641","display_name":"Ussama Yaqub","orcid":"https://orcid.org/0000-0002-8452-2089"},"institutions":[{"id":"https://openalex.org/I207789805","display_name":"Lahore University of Management Sciences","ror":"https://ror.org/05b5x4a35","country_code":"PK","type":"education","lineage":["https://openalex.org/I207789805"]}],"countries":["PK"],"is_corresponding":false,"raw_author_name":"Ussama Yaqub","raw_affiliation_strings":["Lahore University of Management Sciences"],"affiliations":[{"raw_affiliation_string":"Lahore University of Management Sciences","institution_ids":["https://openalex.org/I207789805"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5016950695"],"corresponding_institution_ids":["https://openalex.org/I207789805"],"apc_list":null,"apc_paid":null,"fwci":4.8831,"has_fulltext":true,"cited_by_count":16,"citation_normalized_percentile":{"value":0.95594711,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11147","display_name":"Misinformation and Its Impacts","score":0.9997000098228455,"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"}},"topics":[{"id":"https://openalex.org/T11147","display_name":"Misinformation and Its Impacts","score":0.9997000098228455,"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/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/T13718","display_name":"Media Influence and Politics","score":0.9789000153541565,"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/sentiment-analysis","display_name":"Sentiment analysis","score":0.8671635985374451},{"id":"https://openalex.org/keywords/coronavirus-disease-2019","display_name":"Coronavirus disease 2019 (COVID-19)","score":0.8378056287765503},{"id":"https://openalex.org/keywords/pandemic","display_name":"Pandemic","score":0.6699690222740173},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.60052490234375},{"id":"https://openalex.org/keywords/2019-20-coronavirus-outbreak","display_name":"2019-20 coronavirus outbreak","score":0.5355603098869324},{"id":"https://openalex.org/keywords/severe-acute-respiratory-syndrome-coronavirus-2","display_name":"Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)","score":0.5045851469039917},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4640948176383972},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.446941614151001},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.43776246905326843},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.33912044763565063},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.2578471899032593},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.14136946201324463},{"id":"https://openalex.org/keywords/virology","display_name":"Virology","score":0.07253456115722656}],"concepts":[{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.8671635985374451},{"id":"https://openalex.org/C3008058167","wikidata":"https://www.wikidata.org/wiki/Q84263196","display_name":"Coronavirus disease 2019 (COVID-19)","level":4,"score":0.8378056287765503},{"id":"https://openalex.org/C89623803","wikidata":"https://www.wikidata.org/wiki/Q12184","display_name":"Pandemic","level":5,"score":0.6699690222740173},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.60052490234375},{"id":"https://openalex.org/C3006700255","wikidata":"https://www.wikidata.org/wiki/Q81068910","display_name":"2019-20 coronavirus outbreak","level":3,"score":0.5355603098869324},{"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":0.5045851469039917},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4640948176383972},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.446941614151001},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.43776246905326843},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.33912044763565063},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.2578471899032593},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.14136946201324463},{"id":"https://openalex.org/C159047783","wikidata":"https://www.wikidata.org/wiki/Q7215","display_name":"Virology","level":1,"score":0.07253456115722656},{"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/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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/besc51023.2020.9348291","is_oa":true,"landing_page_url":"https://doi.org/10.1109/besc51023.2020.9348291","pdf_url":"https://ieeexplore.ieee.org/ielx7/9348100/9348278/09348291.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 7th International Conference on Behavioural and Social Computing (BESC)","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1109/besc51023.2020.9348291","is_oa":true,"landing_page_url":"https://doi.org/10.1109/besc51023.2020.9348291","pdf_url":"https://ieeexplore.ieee.org/ielx7/9348100/9348278/09348291.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 7th International Conference on Behavioural and Social Computing (BESC)","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3","score":0.8500000238418579}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3133275718.pdf","grobid_xml":"https://content.openalex.org/works/W3133275718.grobid-xml"},"referenced_works_count":15,"referenced_works":["https://openalex.org/W1590495275","https://openalex.org/W2004214228","https://openalex.org/W2071580474","https://openalex.org/W2099813784","https://openalex.org/W2619555203","https://openalex.org/W2769000698","https://openalex.org/W3011186656","https://openalex.org/W3016994297","https://openalex.org/W3019597125","https://openalex.org/W3037081021","https://openalex.org/W3038806683","https://openalex.org/W3085861617","https://openalex.org/W3101739755","https://openalex.org/W6675143072","https://openalex.org/W6783427901"],"related_works":["https://openalex.org/W4200329650","https://openalex.org/W3127156785","https://openalex.org/W4205754011","https://openalex.org/W3009669391","https://openalex.org/W4205215807","https://openalex.org/W3005417802","https://openalex.org/W4226296940","https://openalex.org/W3028835529","https://openalex.org/W3036314732","https://openalex.org/W3134376730"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"analyze":[4],"over":[5],"18":[6],"million":[7],"coronavirus":[8],"related":[9],"Twitter":[10],"messages":[11],"collected":[12],"between":[13,37,78],"March":[14],"1,":[15],"2020":[16],"and":[17,40,58,86,88],"May":[18],"31,":[19],"2020.":[20],"We":[21,45],"perform":[22],"sentiment":[23,39],"analysis":[24],"using":[25],"VADER,":[26],"a":[27,54,76],"rule-based":[28],"supervised":[29],"machine":[30],"learning":[31],"model,":[32],"to":[33],"evaluate":[34],"the":[35,49,59,73,79,89],"relationship":[36],"public":[38],"number":[41,64,80],"of":[42,51,53,65,69,75,81],"COVID-19":[43,66,94],"cases.":[44,67],"also":[46],"look":[47],"at":[48],"frequency":[50],"mentions":[52],"country":[55],"in":[56,61,92,96],"tweets":[57,82],"rise":[60],"its'":[62],"daily":[63,90],"Some":[68],"our":[70],"findings":[71],"include":[72],"discovery":[74],"correlation":[77],"mentioning":[83],"Italy,":[84],"USA,":[85],"UK":[87],"increase":[91],"new":[93],"cases":[95],"these":[97],"countries.":[98]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
