{"id":"https://openalex.org/W3213646615","doi":"https://doi.org/10.1145/3486633.3491092","title":"Correlation Analysis of Spatio-temporal Arabic COVID-19 Tweets","display_name":"Correlation Analysis of Spatio-temporal Arabic COVID-19 Tweets","publication_year":2021,"publication_date":"2021-11-02","ids":{"openalex":"https://openalex.org/W3213646615","doi":"https://doi.org/10.1145/3486633.3491092","mag":"3213646615"},"language":"en","primary_location":{"id":"doi:10.1145/3486633.3491092","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3486633.3491092","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2nd ACM SIGSPATIAL International Workshop on Spatial Computing for Epidemiology (SpatialEpi 2021)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5077711968","display_name":"Tarek Elsaka","orcid":"https://orcid.org/0000-0002-8135-9191"},"institutions":[{"id":"https://openalex.org/I4210165448","display_name":"Agricultural Research Center","ror":"https://ror.org/05hcacp57","country_code":"EG","type":"facility","lineage":["https://openalex.org/I4210165448"]}],"countries":["EG"],"is_corresponding":true,"raw_author_name":"Tarek Elsaka","raw_affiliation_strings":["Agricultural Research Center, Cairo, Egypt"],"affiliations":[{"raw_affiliation_string":"Agricultural Research Center, Cairo, Egypt","institution_ids":["https://openalex.org/I4210165448"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000538231","display_name":"Imad Afyouni","orcid":"https://orcid.org/0000-0001-6686-3069"},"institutions":[{"id":"https://openalex.org/I29891158","display_name":"University of Sharjah","ror":"https://ror.org/00engpz63","country_code":"AE","type":"education","lineage":["https://openalex.org/I29891158"]}],"countries":["AE"],"is_corresponding":false,"raw_author_name":"Imad Afyouni","raw_affiliation_strings":["Computer Science Department, University of Sharjah, Sharjah, UAE"],"affiliations":[{"raw_affiliation_string":"Computer Science Department, University of Sharjah, Sharjah, UAE","institution_ids":["https://openalex.org/I29891158"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090355098","display_name":"Mohamed Hashem","orcid":"https://orcid.org/0000-0001-7611-9540"},"institutions":[{"id":"https://openalex.org/I29891158","display_name":"University of Sharjah","ror":"https://ror.org/00engpz63","country_code":"AE","type":"education","lineage":["https://openalex.org/I29891158"]}],"countries":["AE"],"is_corresponding":false,"raw_author_name":"Ibrahim Hashem","raw_affiliation_strings":["Computer Science Department, University of Sharjah, Sharjah, UAE"],"affiliations":[{"raw_affiliation_string":"Computer Science Department, University of Sharjah, Sharjah, UAE","institution_ids":["https://openalex.org/I29891158"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069814126","display_name":"Zaher Al Aghbari","orcid":"https://orcid.org/0000-0003-2285-953X"},"institutions":[{"id":"https://openalex.org/I29891158","display_name":"University of Sharjah","ror":"https://ror.org/00engpz63","country_code":"AE","type":"education","lineage":["https://openalex.org/I29891158"]}],"countries":["AE"],"is_corresponding":false,"raw_author_name":"Zaher Al Aghbari","raw_affiliation_strings":["Computer Science Department, University of Sharjah, Sharjah, UAE"],"affiliations":[{"raw_affiliation_string":"Computer Science Department, University of Sharjah, Sharjah, UAE","institution_ids":["https://openalex.org/I29891158"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5077711968"],"corresponding_institution_ids":["https://openalex.org/I4210165448"],"apc_list":null,"apc_paid":null,"fwci":0.4079,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.69677223,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":"4","issue":null,"first_page":"14","last_page":"17"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9980000257492065,"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":0.9980000257492065,"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":0.98580002784729,"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/T11819","display_name":"Data-Driven Disease Surveillance","score":0.9850000143051147,"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/categorization","display_name":"Categorization","score":0.7170745134353638},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.6824586391448975},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.664548397064209},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.6596152186393738},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.5533046722412109},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.502098798751831},{"id":"https://openalex.org/keywords/coronavirus-disease-2019","display_name":"Coronavirus disease 2019 (COVID-19)","score":0.4747498333454132},{"id":"https://openalex.org/keywords/abstraction","display_name":"Abstraction","score":0.46755990386009216},{"id":"https://openalex.org/keywords/association-rule-learning","display_name":"Association rule learning","score":0.44232526421546936},{"id":"https://openalex.org/keywords/topic-model","display_name":"Topic model","score":0.4231411814689636},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.4200916290283203},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3972419798374176},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.33807480335235596},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3000515103340149},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.21866366267204285}],"concepts":[{"id":"https://openalex.org/C94124525","wikidata":"https://www.wikidata.org/wiki/Q912550","display_name":"Categorization","level":2,"score":0.7170745134353638},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.6824586391448975},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.664548397064209},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.6596152186393738},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.5533046722412109},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.502098798751831},{"id":"https://openalex.org/C3008058167","wikidata":"https://www.wikidata.org/wiki/Q84263196","display_name":"Coronavirus disease 2019 (COVID-19)","level":4,"score":0.4747498333454132},{"id":"https://openalex.org/C124304363","wikidata":"https://www.wikidata.org/wiki/Q673661","display_name":"Abstraction","level":2,"score":0.46755990386009216},{"id":"https://openalex.org/C193524817","wikidata":"https://www.wikidata.org/wiki/Q386780","display_name":"Association rule learning","level":2,"score":0.44232526421546936},{"id":"https://openalex.org/C171686336","wikidata":"https://www.wikidata.org/wiki/Q3532085","display_name":"Topic model","level":2,"score":0.4231411814689636},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.4200916290283203},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3972419798374176},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.33807480335235596},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3000515103340149},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.21866366267204285},{"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},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"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/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3486633.3491092","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3486633.3491092","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2nd ACM SIGSPATIAL International Workshop on Spatial Computing for Epidemiology (SpatialEpi 2021)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being","score":0.8100000023841858}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W947140380","https://openalex.org/W2181912024","https://openalex.org/W2252067416","https://openalex.org/W2561661960","https://openalex.org/W2608355139","https://openalex.org/W3026887460","https://openalex.org/W3033939743","https://openalex.org/W3087096149","https://openalex.org/W3088352144","https://openalex.org/W3094936259","https://openalex.org/W3096393000","https://openalex.org/W3101574506","https://openalex.org/W3116782072","https://openalex.org/W3117955110","https://openalex.org/W3121003458","https://openalex.org/W3129168512","https://openalex.org/W3131387325","https://openalex.org/W3153497191"],"related_works":["https://openalex.org/W2165912799","https://openalex.org/W2735662278","https://openalex.org/W2382615723","https://openalex.org/W4311804456","https://openalex.org/W1987484445","https://openalex.org/W2623658258","https://openalex.org/W2143413548","https://openalex.org/W1969219540","https://openalex.org/W2370459448","https://openalex.org/W2105067402"],"abstract_inverted_index":{"Since":[0],"the":[1,25,33,39,60,64,136],"recent":[2],"COVID-19":[3,61,140],"outbreak,":[4],"several":[5],"researchers":[6],"have":[7,29],"begun":[8],"to":[9,14,20,24,53,73,115],"focus":[10],"on":[11,32,156],"various":[12,78],"difficulties":[13],"data":[15,19,37,50,102],"mining":[16,51],"of":[17,35,95,139],"social":[18,36,49,66],"study":[21],"people's":[22],"reactions":[23],"outbreak.":[26],"Recent":[27],"approaches":[28],"mostly":[30],"concentrated":[31],"analysis":[34,94,119],"in":[38],"English":[40],"language.":[41],"In":[42],"this":[43,154],"study,":[44],"we":[45,83,108],"present":[46],"an":[47],"in-depth":[48],"approach":[52],"extract":[54,74],"Spatio-temporal":[55],"and":[56,89,98,111,133,135,162],"semantic":[57],"insights":[58],"about":[59],"pandemic":[62],"from":[63],"Arabic":[65,96],"data.":[67],"We":[68],"developed":[69],"sentiment-based":[70],"categorization":[71],"methods":[72],"major":[75],"topics":[76],"at":[77],"location":[79],"granularities":[80],"(regions/cities).":[81],"Besides,":[82],"used":[84,109],"topic":[85],"abstraction":[86],"levels":[87],"(subtopics":[88],"main":[90],"topics).":[91],"A":[92],"correlation-based":[93],"tweets":[97],"official":[99],"health":[100],"provider":[101],"will":[103],"also":[104],"be":[105],"presented.":[106],"Furthermore,":[107],"occurrence-based":[110],"statistical":[112],"correlation":[113],"methodologies":[114],"create":[116],"many":[117],"topic-based":[118],"mechanisms.":[120],"Our":[121],"findings":[122],"demonstrate":[123],"a":[124],"positive":[125],"association":[126],"between":[127],"top":[128],"subjects":[129],"(for":[130],"example,":[131],"lockdown":[132],"vaccine)":[134],"increasing":[137],"number":[138],"new":[141],"cases,":[142],"but":[143],"unfavorable":[144],"attitudes":[145],"among":[146],"Arab":[147],"Twitter":[148],"users":[149],"were":[150],"generally":[151],"heightened":[152],"during":[153],"pandemic,":[155],"issues":[157],"such":[158],"as":[159],"lockdown,":[160],"closure,":[161],"law":[163],"enforcement.":[164]},"counts_by_year":[{"year":2022,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
