{"id":"https://openalex.org/W3206280177","doi":"https://doi.org/10.1109/access.2021.3119063","title":"Using a Hybrid-Classification Method to Analyze Twitter Data During Critical Events","display_name":"Using a Hybrid-Classification Method to Analyze Twitter Data During Critical Events","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3206280177","doi":"https://doi.org/10.1109/access.2021.3119063","mag":"3206280177"},"language":"en","primary_location":{"id":"doi:10.1109/access.2021.3119063","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3119063","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09565914.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09565914.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5024500988","display_name":"Saadat M. Alhashmi","orcid":"https://orcid.org/0000-0003-4044-9315"},"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":"Saadat M. Alhashmi","raw_affiliation_strings":["Department of Information Systems, University of Sharjah, Sharjah, 27272, UAE"],"raw_orcid":"https://orcid.org/0000-0003-4044-9315","affiliations":[{"raw_affiliation_string":"Department of Information Systems, University of Sharjah, Sharjah, 27272, UAE","institution_ids":["https://openalex.org/I29891158"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051533062","display_name":"Ahmed M. Khedr","orcid":"https://orcid.org/0000-0001-7957-7862"},"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":true,"raw_author_name":"Ahmed M. Khedr","raw_affiliation_strings":["Department of Computer Science, University of Sharjah, Sharjah, 27272, UAE. (e-mail: akhedr@sharjah.ac.ae)","Department of Computer Science, University of Sharjah, Sharjah, 27272, UAE"],"raw_orcid":"https://orcid.org/0000-0001-7957-7862","affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Sharjah, Sharjah, 27272, UAE. (e-mail: akhedr@sharjah.ac.ae)","institution_ids":["https://openalex.org/I29891158"]},{"raw_affiliation_string":"Department of Computer Science, University of Sharjah, Sharjah, 27272, UAE","institution_ids":["https://openalex.org/I29891158"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018275276","display_name":"Ifra Arif","orcid":null},"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":"Ifra Arif","raw_affiliation_strings":["Department of Computer Science, University of Sharjah, Sharjah, 27272, UAE"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Sharjah, Sharjah, 27272, UAE","institution_ids":["https://openalex.org/I29891158"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029706568","display_name":"Magdi El\u2010Bannany","orcid":"https://orcid.org/0000-0001-8795-3661"},"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":"Magdi El Bannany","raw_affiliation_strings":["Department of Accounting, University of Sharjah, Sharjah, 27272, UAE"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Accounting, University of Sharjah, Sharjah, 27272, UAE","institution_ids":["https://openalex.org/I29891158"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5051533062"],"corresponding_institution_ids":["https://openalex.org/I29891158"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":1.9592,"has_fulltext":true,"cited_by_count":21,"citation_normalized_percentile":{"value":0.88804776,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":"9","issue":null,"first_page":"141023","last_page":"141035"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9955999851226807,"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/T11644","display_name":"Spam and Phishing Detection","score":0.9952999949455261,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":0.8127648830413818},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8084592819213867},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6981658935546875},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6768254041671753},{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.5911439061164856},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.588372528553009},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.42796045541763306},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.4117233157157898}],"concepts":[{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.8127648830413818},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8084592819213867},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6981658935546875},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6768254041671753},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.5911439061164856},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.588372528553009},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.42796045541763306},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.4117233157157898}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2021.3119063","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3119063","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09565914.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:b0c925a03948447a85e0a0c6af3a8a53","is_oa":true,"landing_page_url":"https://doaj.org/article/b0c925a03948447a85e0a0c6af3a8a53","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 9, Pp 141023-141035 (2021)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2021.3119063","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3119063","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09565914.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3206280177.pdf","grobid_xml":"https://content.openalex.org/works/W3206280177.grobid-xml"},"referenced_works_count":51,"referenced_works":["https://openalex.org/W113211615","https://openalex.org/W1556485742","https://openalex.org/W1933546049","https://openalex.org/W1998257453","https://openalex.org/W2008642148","https://openalex.org/W2020909954","https://openalex.org/W2034090215","https://openalex.org/W2079281079","https://openalex.org/W2096707493","https://openalex.org/W2166202924","https://openalex.org/W2170414372","https://openalex.org/W2251129377","https://openalex.org/W2251873083","https://openalex.org/W2289702863","https://openalex.org/W2464821035","https://openalex.org/W2573921730","https://openalex.org/W2576620243","https://openalex.org/W2577200552","https://openalex.org/W2584429674","https://openalex.org/W2594056497","https://openalex.org/W2598551448","https://openalex.org/W2607594748","https://openalex.org/W2613705267","https://openalex.org/W2734458531","https://openalex.org/W2757541972","https://openalex.org/W2765126493","https://openalex.org/W2770966167","https://openalex.org/W2793894766","https://openalex.org/W2798149936","https://openalex.org/W2806345781","https://openalex.org/W2892573641","https://openalex.org/W2897288307","https://openalex.org/W2900593320","https://openalex.org/W2916825593","https://openalex.org/W2944796298","https://openalex.org/W2949121473","https://openalex.org/W2964352699","https://openalex.org/W2992580393","https://openalex.org/W2997903843","https://openalex.org/W3000739907","https://openalex.org/W3031264305","https://openalex.org/W3045576536","https://openalex.org/W4236345704","https://openalex.org/W6691273071","https://openalex.org/W6691656673","https://openalex.org/W6731923001","https://openalex.org/W6732084508","https://openalex.org/W6732430313","https://openalex.org/W6755825505","https://openalex.org/W6766879573","https://openalex.org/W6817578933"],"related_works":["https://openalex.org/W4389954502","https://openalex.org/W2771255398","https://openalex.org/W1989494794","https://openalex.org/W2122031327","https://openalex.org/W1184238669","https://openalex.org/W2930428186","https://openalex.org/W3200027047","https://openalex.org/W4224922629","https://openalex.org/W3125536479","https://openalex.org/W4214820172"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"sentiment":[3,25,60,115,131,142],"analysis":[4,26,61],"of":[5,27,54,73,114,178,184,213,220,234,242],"two":[6,56],"critical":[7],"events":[8,58],"is":[9,99,139,203,224,230],"presented":[10],"using":[11,31],"machine":[12],"learning":[13,83],"(ML)":[14],"techniques.":[15],"COVID-19":[16,42,151],"has":[17,34,119],"put":[18],"immense":[19],"pressure":[20],"across":[21],"the":[22,41,51,65,71,74,104,111,165,176,182,200,211,218,221],"globe":[23],"and":[24,43,62,190],"data":[28,45,53],"from":[29,46],"Twitter":[30,52,147],"ML":[32],"techniques":[33,126],"become":[35],"a":[36,134,145],"hot":[37],"topic.":[38],"We":[39],"extract":[40],"Expo2020":[44],"twitter.":[47],"First,":[48],"we":[49],"evaluate":[50],"these":[55],"significant":[57],"for":[59,130,141,156],"then":[63],"use":[64],"classification":[66,125,137,208],"algorithm":[67],"to":[68,101,150,162,226],"find":[69],"out":[70],"usefulness":[72],"proposed":[75,100,140,201,222],"methodology.":[76],"A":[77],"hybrid":[78,124,136],"approach":[79,138,167,202],"that":[80,152,164,199,238],"uses":[81],"supervised":[82],"model":[84,223],"Support":[85],"Vector":[86],"Machine":[87],"(SVM)":[88],"combined":[89],"with":[90,210],"Bayes":[91,96],"Factor":[92],"Tree":[93],"Augmented":[94],"Naive":[95],"(BFTAN)":[97],"technique":[98],"accurately":[102],"classify":[103],"input":[105],"tweet":[106],"while":[107],"keeping":[108],"in":[109,172,205],"mind":[110],"different":[112],"challenges":[113],"analysis.":[116],"Our":[117],"study":[118,161],"four":[120],"main":[121],"contributions:":[122],"a)":[123],"are":[127,244],"thoroughly":[128],"explored":[129],"analysis,":[132,143],"b)":[133],"novel":[135],"c)":[144],"new":[146],"dataset":[148,236],"related":[149],"can":[153,168],"be":[154],"used":[155],"future":[157],"research,":[158],"d)":[159],"empirical":[160],"show":[163,198],"hybrid-classification":[166],"achieve":[169],"comparable":[170,225],"performance":[171],"improving":[173],"accuracy,":[174],"identifying":[175],"polarity":[177],"comparative":[179],"sentences,":[180],"distinguishing":[181],"intensity":[183],"opinion":[185],"words,":[186,189],"considering":[187],"negative":[188],"handling":[191],"sarcasm":[192],"as":[193],"well.":[194],"The":[195],"experimental":[196],"results":[197,209],"robust":[204],"producing":[206],"correct":[207],"tradeoff":[212],"poor":[214],"time":[215],"efficiency.":[216],"Also,":[217],"accuracy":[219],"other":[227],"classifiers,":[228],"which":[229],"encouraging.":[231],"Class":[232],"distribution":[233],"each":[235],"demonstrates":[237],"more":[239],"than":[240],"60%":[241],"tweets":[243],"negative.":[245]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":3}],"updated_date":"2026-05-29T09:21:14.243279","created_date":"2025-10-10T00:00:00"}