{"id":"https://openalex.org/W3093469901","doi":"https://doi.org/10.1016/j.jksuci.2020.09.013","title":"Affect detection from arabic tweets using ensemble and deep learning techniques","display_name":"Affect detection from arabic tweets using ensemble and deep learning techniques","publication_year":2020,"publication_date":"2020-10-16","ids":{"openalex":"https://openalex.org/W3093469901","doi":"https://doi.org/10.1016/j.jksuci.2020.09.013","mag":"3093469901"},"language":"en","primary_location":{"id":"doi:10.1016/j.jksuci.2020.09.013","doi":"https://doi.org/10.1016/j.jksuci.2020.09.013","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.jksuci.2020.09.013","pdf_url":"https://www.sciencedirect.com/science/article/pii/S1319157820304766/pdf","source":{"id":"https://openalex.org/S2764955546","display_name":"Journal of King Saud University - Computer and Information Sciences","issn_l":"1319-1578","issn":["1319-1578","2213-1248"],"is_oa":false,"is_in_doaj":true,"is_core":true,"listed_in":["cwts-core","doaj","dongbi-c","jufo-1","norway-1","oarl","poland-100"],"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of King Saud University - Computer and Information Sciences","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://www.sciencedirect.com/science/article/pii/S1319157820304766/pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5046702590","display_name":"Omar AlZoubi","orcid":"https://orcid.org/0000-0002-7978-1633","observed_orcids":["https://orcid.org/0000-0002-7978-1633"]},"institutions":[{"id":"https://openalex.org/I156983542","display_name":"Jordan University of Science and Technology","ror":"https://ror.org/03y8mtb59","country_code":"JO","type":"education","lineage":["https://openalex.org/I156983542"]}],"countries":["JO"],"is_corresponding":true,"raw_author_name":"Omar AlZoubi","raw_affiliation_strings":["Department of Computer Science, Jordan University of Science and Technology, Jordan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Jordan University of Science and Technology, Jordan","institution_ids":["https://openalex.org/I156983542"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060460007","display_name":"Saja Khaled Tawalbeh","orcid":"https://orcid.org/0000-0001-6278-0768","observed_orcids":["https://orcid.org/0000-0001-6278-0768"]},"institutions":[{"id":"https://openalex.org/I156983542","display_name":"Jordan University of Science and Technology","ror":"https://ror.org/03y8mtb59","country_code":"JO","type":"education","lineage":["https://openalex.org/I156983542"]}],"countries":["JO"],"is_corresponding":false,"raw_author_name":"Saja Khaled Tawalbeh","raw_affiliation_strings":["Department of Computer Science, Jordan University of Science and Technology, Jordan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Jordan University of Science and Technology, Jordan","institution_ids":["https://openalex.org/I156983542"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011129706","display_name":"Mohammad AL-Smadi","orcid":"https://orcid.org/0000-0002-7808-6962","observed_orcids":["https://orcid.org/0000-0002-7808-6962"]},"institutions":[{"id":"https://openalex.org/I156983542","display_name":"Jordan University of Science and Technology","ror":"https://ror.org/03y8mtb59","country_code":"JO","type":"education","lineage":["https://openalex.org/I156983542"]}],"countries":["JO"],"is_corresponding":false,"raw_author_name":"Mohammad AL-Smadi","raw_affiliation_strings":["Department of Computer Science, Jordan University of Science and Technology, Jordan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Jordan University of Science and Technology, Jordan","institution_ids":["https://openalex.org/I156983542"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5046702590"],"corresponding_institution_ids":["https://openalex.org/I156983542"],"apc_list":{"value":1990,"currency":"USD","value_usd":1990},"apc_paid":{"value":1990,"currency":"USD","value_usd":1990},"fwci":1.0039,"has_fulltext":true,"cited_by_count":20,"citation_normalized_percentile":{"value":0.78118649,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"34","issue":"6","first_page":"2529","last_page":"2539"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9940999746322632,"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":0.9940999746322632,"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/T10667","display_name":"Emotion and Mood Recognition","score":0.004999999888241291,"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/T12488","display_name":"Mental Health via Writing","score":0.00019999999494757503,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/affect-recognition","display_name":"affect recognition","score":0.8659999966621399},{"id":"https://openalex.org/keywords/arabic-tweets","display_name":"Arabic tweets","score":0.9800000190734863},{"id":"https://openalex.org/keywords/social-media-text","display_name":"social media text","score":0.574999988079071},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"ensemble learning","score":0.7160000205039978},{"id":"https://openalex.org/keywords/xgboost-regression","display_name":"XGBoost regression","score":0.8050000071525574},{"id":"https://openalex.org/keywords/arabic-text-classification","display_name":"Arabic text classification","score":0.5329999923706055}],"concepts":[{"id":"https://openalex.org/C44572571","wikidata":"https://www.wikidata.org/wiki/Q7448970","display_name":"SemEval","level":3,"score":0.7760542631149292},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7531565427780151},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6345926523208618},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6252736449241638},{"id":"https://openalex.org/C2776035688","wikidata":"https://www.wikidata.org/wiki/Q1606558","display_name":"Affect (linguistics)","level":2,"score":0.6148356199264526},{"id":"https://openalex.org/C2988148770","wikidata":"https://www.wikidata.org/wiki/Q1339090","display_name":"Emotion detection","level":3,"score":0.612110435962677},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.6074216961860657},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5238823294639587},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.4729979634284973},{"id":"https://openalex.org/C119898033","wikidata":"https://www.wikidata.org/wiki/Q3433888","display_name":"Ensemble forecasting","level":2,"score":0.4343875050544739},{"id":"https://openalex.org/C122980154","wikidata":"https://www.wikidata.org/wiki/Q205555","display_name":"Feeling","level":2,"score":0.4297953248023987},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.40788906812667847},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4010462164878845},{"id":"https://openalex.org/C2777438025","wikidata":"https://www.wikidata.org/wiki/Q1339090","display_name":"Emotion recognition","level":2,"score":0.21461379528045654},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.12807223200798035},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C46312422","wikidata":"https://www.wikidata.org/wiki/Q11024","display_name":"Communication","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1016/j.jksuci.2020.09.013","doi":"https://doi.org/10.1016/j.jksuci.2020.09.013","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.jksuci.2020.09.013","pdf_url":"https://www.sciencedirect.com/science/article/pii/S1319157820304766/pdf","source":{"id":"https://openalex.org/S2764955546","display_name":"Journal of King Saud University - Computer and Information Sciences","issn_l":"1319-1578","issn":["1319-1578","2213-1248"],"is_oa":false,"is_in_doaj":true,"is_core":true,"listed_in":["cwts-core","doaj","dongbi-c","jufo-1","norway-1","oarl","poland-100"],"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of King Saud University - Computer and Information Sciences","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:618fe0822df949238725a8bac6e5ba62","doi":null,"is_oa":true,"landing_page_url":"https://doaj.org/article/618fe0822df949238725a8bac6e5ba62","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,"listed_in":[],"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":"Journal of King Saud University: Computer and Information Sciences, Vol 34, Iss 6, Pp 2529-2539 (2022)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1016/j.jksuci.2020.09.013","doi":"https://doi.org/10.1016/j.jksuci.2020.09.013","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.jksuci.2020.09.013","pdf_url":"https://www.sciencedirect.com/science/article/pii/S1319157820304766/pdf","source":{"id":"https://openalex.org/S2764955546","display_name":"Journal of King Saud University - Computer and Information Sciences","issn_l":"1319-1578","issn":["1319-1578","2213-1248"],"is_oa":false,"is_in_doaj":true,"is_core":true,"listed_in":["cwts-core","doaj","dongbi-c","jufo-1","norway-1","oarl","poland-100"],"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of King Saud University - Computer and Information Sciences","raw_type":"journal-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3093469901.pdf","grobid_xml":"https://content.openalex.org/works/W3093469901.grobid-xml"},"referenced_works_count":82,"referenced_works":["https://openalex.org/W1569507287","https://openalex.org/W1680797894","https://openalex.org/W1832693441","https://openalex.org/W1901822430","https://openalex.org/W1924770834","https://openalex.org/W2022204871","https://openalex.org/W2040467972","https://openalex.org/W2064675550","https://openalex.org/W2079521622","https://openalex.org/W2133990480","https://openalex.org/W2149628368","https://openalex.org/W2150150736","https://openalex.org/W2153579005","https://openalex.org/W2156413587","https://openalex.org/W2160660844","https://openalex.org/W2169139688","https://openalex.org/W2183341477","https://openalex.org/W2319794630","https://openalex.org/W2555586486","https://openalex.org/W2588225831","https://openalex.org/W2749639054","https://openalex.org/W2767784948","https://openalex.org/W2786205708","https://openalex.org/W2788706844","https://openalex.org/W2794097103","https://openalex.org/W2794259165","https://openalex.org/W2796430037","https://openalex.org/W2796772616","https://openalex.org/W2797520209","https://openalex.org/W2805241691","https://openalex.org/W2805737268","https://openalex.org/W2805744755","https://openalex.org/W2805878970","https://openalex.org/W2806151534","https://openalex.org/W2806227953","https://openalex.org/W2806380044","https://openalex.org/W2806631561","https://openalex.org/W2806752996","https://openalex.org/W2807136170","https://openalex.org/W2808504327","https://openalex.org/W2890269216","https://openalex.org/W2890484448","https://openalex.org/W2891365890","https://openalex.org/W2897024084","https://openalex.org/W2897761140","https://openalex.org/W2900517206","https://openalex.org/W2902145796","https://openalex.org/W2910830936","https://openalex.org/W2914622272","https://openalex.org/W2914874661","https://openalex.org/W2920434442","https://openalex.org/W2944780533","https://openalex.org/W2947803061","https://openalex.org/W2950151462","https://openalex.org/W2964199361","https://openalex.org/W2965477556","https://openalex.org/W2999211502","https://openalex.org/W3034173830","https://openalex.org/W3095793088","https://openalex.org/W3102476541","https://openalex.org/W4234894178","https://openalex.org/W4236965008","https://openalex.org/W4239941435","https://openalex.org/W4241181514","https://openalex.org/W4242959488","https://openalex.org/W4249142469","https://openalex.org/W4254223637","https://openalex.org/W4299626558","https://openalex.org/W4300787551","https://openalex.org/W6689075165","https://openalex.org/W6729998338","https://openalex.org/W6749488094","https://openalex.org/W6751777153","https://openalex.org/W6751788392","https://openalex.org/W6752175765","https://openalex.org/W6752191906","https://openalex.org/W6752427072","https://openalex.org/W6752572155","https://openalex.org/W6820611998","https://openalex.org/W6910681941","https://openalex.org/W7043723207","https://openalex.org/W7096703613"],"related_works":["https://openalex.org/W4285148527","https://openalex.org/W2806764184","https://openalex.org/W2980387735","https://openalex.org/W2768601449","https://openalex.org/W2788706844","https://openalex.org/W4206194638","https://openalex.org/W3187475377","https://openalex.org/W4388621839","https://openalex.org/W2942629584","https://openalex.org/W3015775628"],"abstract_inverted_index":{"Affect":[0],"detection":[1,91],"from":[2],"text":[3,54,70],"has":[4,45],"captured":[5],"the":[6,15,84,138,155,166],"attention":[7],"of":[8,18,42,51,62,66,83,123,137,154,176,181],"researchers":[9],"recently.":[10],"This":[11,79],"is":[12,74,128,163],"due":[13],"to":[14,28,130],"rapid":[16],"use":[17],"social":[19,43],"media":[20],"sites":[21],"(e.g.":[22],"Twitter,":[23],"Facebook),":[24],"which":[25],"allows":[26],"users":[27],"express":[29],"their":[30],"feelings,":[31],"emotions,":[32],"and":[33,89,96,116,126],"thoughts":[34],"in":[35,142,183],"textual":[36,40],"format.":[37],"Analyzing":[38],"emotion-rich":[39],"data":[41],"networks":[44,114],"many":[46],"real-life":[47],"applications.":[48],"The":[49,121],"context":[50],"an":[52,132,179],"emotional":[53,67,72],"can":[55],"be":[56],"measured":[57],"by":[58],"analyzing":[59],"certain":[60],"features":[61],"this":[63,100,169],"rich":[64],"source":[65],"information.":[68],"Classifying":[69],"into":[71],"labels/intensities":[73],"considered":[75],"a":[76,151,174],"difficult":[77],"problem.":[78],"paper":[80],"resolves":[81],"one":[82],"state-of-the-art":[85],"NLP":[86],"research":[87],"emotion":[88,133],"intensity":[90,134],"tasks":[92],"using":[93,150],"Deep":[94],"Learning":[95],"ensemble":[97,122,146],"implementations.":[98],"In":[99],"paper,":[101],"we":[102],"developed":[103],"several":[104],"innovative":[105],"approaches;":[106],"(a)":[107],"bidirectional":[108],"GRU_CNN":[109],"(BiGRU_CNN),":[110],"(b)":[111],"conventional":[112],"neural":[113],"(CNN),":[115],"(c)":[117],"XGBoost":[118],"regressor":[119],"(XGB).":[120],"BiGRU_CNN,":[124],"CNN,":[125],"XGB":[127],"used":[129],"solve":[131],"(EI-reg)":[135],"task":[136],"SemEval-2018":[139,156],"Task1":[140],"(Affect":[141],"Tweets).":[143],"Our":[144],"proposed":[145],"approach":[147,162],"was":[148],"evaluated":[149],"reference":[152],"dataset":[153],"Task1.":[157],"Results":[158],"show":[159],"that":[160],"our":[161],"well":[164],"above":[165],"baseline":[167],"for":[168],"task.":[170],"It":[171],"also":[172],"achieved":[173],"Pearson":[175],"(69.2%),":[177],"with":[178,185],"enhancement":[180],"0.7%":[182],"comparison":[184],"previous":[186],"best":[187],"performing":[188],"models.":[189]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":3}],"updated_date":"2026-11-13T13:42:25.865203","created_date":"2020-10-22T00:00:00"}