{"id":"https://openalex.org/W4382721535","doi":"https://doi.org/10.3390/a16070318","title":"Developing Analytical Tools for Arabic Sentiment Analysis of COVID-19 Data","display_name":"Developing Analytical Tools for Arabic Sentiment Analysis of COVID-19 Data","publication_year":2023,"publication_date":"2023-06-29","ids":{"openalex":"https://openalex.org/W4382721535","doi":"https://doi.org/10.3390/a16070318"},"language":"en","primary_location":{"id":"doi:10.3390/a16070318","is_oa":true,"landing_page_url":"https://doi.org/10.3390/a16070318","pdf_url":"https://www.mdpi.com/1999-4893/16/7/318/pdf?version=1688009386","source":{"id":"https://openalex.org/S190629608","display_name":"Algorithms","issn_l":"1999-4893","issn":["1999-4893"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Algorithms","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1999-4893/16/7/318/pdf?version=1688009386","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5108847554","display_name":"Naglaa Abdelhady","orcid":null},"institutions":[{"id":"https://openalex.org/I91041137","display_name":"Assiut University","ror":"https://ror.org/01jaj8n65","country_code":"EG","type":"education","lineage":["https://openalex.org/I91041137"]}],"countries":["EG"],"is_corresponding":true,"raw_author_name":"Naglaa Abdelhady","raw_affiliation_strings":["Department of Information Systems, Faculty of Computers and Information, Assiut University, Assiut 2071515, Egypt"],"raw_orcid":"https://orcid.org/0000-0002-7295-7579","affiliations":[{"raw_affiliation_string":"Department of Information Systems, Faculty of Computers and Information, Assiut University, Assiut 2071515, Egypt","institution_ids":["https://openalex.org/I91041137"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008131308","display_name":"Ibrahim E. Elsemman","orcid":"https://orcid.org/0000-0002-2720-8245"},"institutions":[{"id":"https://openalex.org/I91041137","display_name":"Assiut University","ror":"https://ror.org/01jaj8n65","country_code":"EG","type":"education","lineage":["https://openalex.org/I91041137"]}],"countries":["EG"],"is_corresponding":false,"raw_author_name":"Ibrahim E. Elsemman","raw_affiliation_strings":["Department of Information Systems, Faculty of Computers and Information, Assiut University, Assiut 2071515, Egypt"],"raw_orcid":"https://orcid.org/0000-0002-2720-8245","affiliations":[{"raw_affiliation_string":"Department of Information Systems, Faculty of Computers and Information, Assiut University, Assiut 2071515, Egypt","institution_ids":["https://openalex.org/I91041137"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051529556","display_name":"Mohammed F. Farghally","orcid":"https://orcid.org/0000-0002-9596-5352"},"institutions":[{"id":"https://openalex.org/I91041137","display_name":"Assiut University","ror":"https://ror.org/01jaj8n65","country_code":"EG","type":"education","lineage":["https://openalex.org/I91041137"]}],"countries":["EG"],"is_corresponding":false,"raw_author_name":"Mohammed F. Farghally","raw_affiliation_strings":["Department of Information Systems, Faculty of Computers and Information, Assiut University, Assiut 2071515, Egypt"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information Systems, Faculty of Computers and Information, Assiut University, Assiut 2071515, Egypt","institution_ids":["https://openalex.org/I91041137"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109244101","display_name":"Taysir Hassan A. Soliman","orcid":"https://orcid.org/0000-0002-7635-4089"},"institutions":[{"id":"https://openalex.org/I91041137","display_name":"Assiut University","ror":"https://ror.org/01jaj8n65","country_code":"EG","type":"education","lineage":["https://openalex.org/I91041137"]}],"countries":["EG"],"is_corresponding":false,"raw_author_name":"Taysir Hassan A. Soliman","raw_affiliation_strings":["Department of Information Systems, Faculty of Computers and Information, Assiut University, Assiut 2071515, Egypt"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information Systems, Faculty of Computers and Information, Assiut University, Assiut 2071515, Egypt","institution_ids":["https://openalex.org/I91041137"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5108847554"],"corresponding_institution_ids":["https://openalex.org/I91041137"],"apc_list":{"value":1400,"currency":"CHF","value_usd":1515},"apc_paid":{"value":1400,"currency":"CHF","value_usd":1515},"fwci":0.3313,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.63965404,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":"16","issue":"7","first_page":"318","last_page":"318"},"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":0.9984999895095825,"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":0.9980000257492065,"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/lexicon","display_name":"Lexicon","score":0.8795503377914429},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.8689253330230713},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7965545654296875},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7116759419441223},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6751765012741089},{"id":"https://openalex.org/keywords/negation","display_name":"Negation","score":0.6563974022865295},{"id":"https://openalex.org/keywords/emoji","display_name":"Emoji","score":0.5572289228439331},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5539836883544922},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5268890857696533},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.44422122836112976},{"id":"https://openalex.org/keywords/f1-score","display_name":"F1 score","score":0.43373948335647583},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.42706161737442017},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.36085522174835205},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.10461792349815369},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.09192124009132385}],"concepts":[{"id":"https://openalex.org/C2778121359","wikidata":"https://www.wikidata.org/wiki/Q8096","display_name":"Lexicon","level":2,"score":0.8795503377914429},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.8689253330230713},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7965545654296875},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7116759419441223},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6751765012741089},{"id":"https://openalex.org/C2185349","wikidata":"https://www.wikidata.org/wiki/Q190558","display_name":"Negation","level":2,"score":0.6563974022865295},{"id":"https://openalex.org/C2779247141","wikidata":"https://www.wikidata.org/wiki/Q1049294","display_name":"Emoji","level":3,"score":0.5572289228439331},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5539836883544922},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5268890857696533},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.44422122836112976},{"id":"https://openalex.org/C148524875","wikidata":"https://www.wikidata.org/wiki/Q6975395","display_name":"F1 score","level":2,"score":0.43373948335647583},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.42706161737442017},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36085522174835205},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.10461792349815369},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.09192124009132385},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/a16070318","is_oa":true,"landing_page_url":"https://doi.org/10.3390/a16070318","pdf_url":"https://www.mdpi.com/1999-4893/16/7/318/pdf?version=1688009386","source":{"id":"https://openalex.org/S190629608","display_name":"Algorithms","issn_l":"1999-4893","issn":["1999-4893"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Algorithms","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:241496ce0dcd47ebbb497b5556dbc66c","is_oa":true,"landing_page_url":"https://doaj.org/article/241496ce0dcd47ebbb497b5556dbc66c","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":"Algorithms, Vol 16, Iss 7, p 318 (2023)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1999-4893/16/7/318/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/a16070318","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Algorithms; Volume 16; Issue 7; Pages: 318","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/a16070318","is_oa":true,"landing_page_url":"https://doi.org/10.3390/a16070318","pdf_url":"https://www.mdpi.com/1999-4893/16/7/318/pdf?version=1688009386","source":{"id":"https://openalex.org/S190629608","display_name":"Algorithms","issn_l":"1999-4893","issn":["1999-4893"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Algorithms","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.800000011920929,"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/W4382721535.pdf"},"referenced_works_count":27,"referenced_works":["https://openalex.org/W1482451543","https://openalex.org/W1605688901","https://openalex.org/W1970361289","https://openalex.org/W2043287290","https://openalex.org/W2057854333","https://openalex.org/W2149684865","https://openalex.org/W2252067416","https://openalex.org/W2276154502","https://openalex.org/W2331269392","https://openalex.org/W2516105622","https://openalex.org/W2575929989","https://openalex.org/W2581304338","https://openalex.org/W2584262649","https://openalex.org/W2587163726","https://openalex.org/W2886820885","https://openalex.org/W2901858379","https://openalex.org/W2909834046","https://openalex.org/W2911964244","https://openalex.org/W2975515724","https://openalex.org/W3000337150","https://openalex.org/W3021955997","https://openalex.org/W3091976351","https://openalex.org/W3134056544","https://openalex.org/W3177040000","https://openalex.org/W3188037342","https://openalex.org/W6628596733","https://openalex.org/W6772834199"],"related_works":["https://openalex.org/W2770617756","https://openalex.org/W4362496363","https://openalex.org/W2888662092","https://openalex.org/W3205826705","https://openalex.org/W2903394456","https://openalex.org/W2902285665","https://openalex.org/W3119550360","https://openalex.org/W2975174210","https://openalex.org/W4200238620","https://openalex.org/W2244029015"],"abstract_inverted_index":{"Due":[0],"to":[1,27,48,95,106,130],"the":[2,8,41,44,56,64,67,92,103,122,131,140,146,197,208,224],"widespread":[3],"distribution":[4],"of":[5,10,14,46,58,124,211],"coronavirus":[6],"and":[7,35,69,79,127,143,152,169,187,195,217],"existence":[9],"a":[11,29,83,97],"massive":[12],"quantity":[13],"data":[15],"on":[16,91],"social":[17],"networking":[18],"sites,":[19],"particularly":[20],"Twitter,":[21],"there":[22],"was":[23],"an":[24,158],"urgent":[25],"need":[26],"develop":[28],"model":[30],"that":[31,76,88,137,161,183,196],"evaluates":[32],"users\u2019":[33],"emotions":[34],"determines":[36],"how":[37],"they":[38],"feel":[39],"about":[40],"pandemic.":[42],"However,":[43],"absence":[45],"resources":[47],"assist":[49],"Sentiment":[50],"Analysis":[51],"(SA)":[52],"in":[53],"Arabic":[54,71,111],"hampered":[55],"completion":[57],"this":[59],"endeavor.":[60],"This":[61],"work":[62,193],"presents":[63],"ArSentiCOVID":[65,93],"lexicon,":[66],"first":[68],"largest":[70],"SA":[72],"lexicon":[73,94],"for":[74,113,174,204],"COVID-19":[75],"handles":[77],"negation":[78,126],"emojis.":[80],"We":[81,115],"design":[82],"lexicon-based":[84],"sentiment":[85,104],"analyzer":[86,105],"tool":[87],"depends":[89],"mainly":[90],"perform":[96],"three-way":[98],"classification.":[99],"Furthermore,":[100],"we":[101,120,156],"employ":[102],"automatically":[107],"assemble":[108],"42K":[109],"annotated":[110],"tweets":[112],"COVID-19.":[114],"conduct":[116],"two":[117],"experiments.":[118],"First,":[119],"test":[121],"effect":[123],"applying":[125,139],"emoji":[128],"rules":[129],"created":[132],"lexicon.":[133],"The":[134,180],"results":[135,181],"indicate":[136],"after":[138],"emoji,":[141],"negation,":[142,167],"both":[144],"rules,":[145],"F-score":[147,218],"improved":[148],"by":[149],"2.13%,":[150],"4.13%,":[151],"6.13%,":[153],"respectively.":[154],"Second,":[155],"applied":[157],"ensemble":[159],"method":[160],"combines":[162],"four":[163,198],"feature":[164,199],"groups":[165,200],"(n-grams,":[166],"polarity,":[168],"emojis)":[170],"as":[171],"input":[172],"features":[173,206],"eight":[175],"Machine":[176,190],"Learning":[177],"(ML)":[178],"classifiers.":[179],"reveal":[182],"Random":[184],"Forest":[185],"(RF)":[186],"Support":[188],"Vector":[189],"(SVM)":[191],"classifiers":[192],"best,":[194],"combined":[201],"are":[202],"best":[203],"representing":[205],"produced":[207],"maximum":[209],"accuracy":[210],"(92.21%),":[212,216],"precision":[213],"(92.23%),":[214],"recall":[215],"(92.23%)":[219],"with":[220],"3.2%":[221],"improvement":[222],"over":[223],"base":[225],"model.":[226]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
