{"id":"https://openalex.org/W4402594456","doi":"https://doi.org/10.1109/sds60720.2024.00012","title":"Sentiment Analysis of Arabic Tweets using ARABERT as a fine tuner and feature extractors","display_name":"Sentiment Analysis of Arabic Tweets using ARABERT as a fine tuner and feature extractors","publication_year":2024,"publication_date":"2024-05-30","ids":{"openalex":"https://openalex.org/W4402594456","doi":"https://doi.org/10.1109/sds60720.2024.00012"},"language":"en","primary_location":{"id":"doi:10.1109/sds60720.2024.00012","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sds60720.2024.00012","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 11th IEEE Swiss Conference on Data Science (SDS)","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/A5107293934","display_name":"Athir Mohammed Alsugair","orcid":null},"institutions":[{"id":"https://openalex.org/I106778892","display_name":"Princess Nourah bint Abdulrahman University","ror":"https://ror.org/05b0cyh02","country_code":"SA","type":"education","lineage":["https://openalex.org/I106778892"]}],"countries":["SA"],"is_corresponding":true,"raw_author_name":"Athir Mohammed Alsugair","raw_affiliation_strings":["Princess Nourah Bint Abdulrahman University,Department of Computer Sciences,Riyadh,Kingdom of Saudi Arabia"],"affiliations":[{"raw_affiliation_string":"Princess Nourah Bint Abdulrahman University,Department of Computer Sciences,Riyadh,Kingdom of Saudi Arabia","institution_ids":["https://openalex.org/I106778892"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036220067","display_name":"Norah Saleh Alghamdi","orcid":"https://orcid.org/0000-0001-6421-6001"},"institutions":[{"id":"https://openalex.org/I106778892","display_name":"Princess Nourah bint Abdulrahman University","ror":"https://ror.org/05b0cyh02","country_code":"SA","type":"education","lineage":["https://openalex.org/I106778892"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"Norah Saleh Alghamdi","raw_affiliation_strings":["Princess Nourah Bint Abdulrahman University,Department of Computer Sciences,Riyadh,Kingdom of Saudi Arabia"],"affiliations":[{"raw_affiliation_string":"Princess Nourah Bint Abdulrahman University,Department of Computer Sciences,Riyadh,Kingdom of Saudi Arabia","institution_ids":["https://openalex.org/I106778892"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5107293934"],"corresponding_institution_ids":["https://openalex.org/I106778892"],"apc_list":null,"apc_paid":null,"fwci":1.0785,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.81402373,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"31","last_page":"36"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9458000063896179,"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":0.9458000063896179,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/tuner","display_name":"Tuner","score":0.7414935827255249},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7215887904167175},{"id":"https://openalex.org/keywords/arabic","display_name":"Arabic","score":0.6843371391296387},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.6756880879402161},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6065921783447266},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5975553393363953},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5733802914619446},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.48116335272789},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4114413261413574},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3422350585460663},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.10531595349311829},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.07809117436408997},{"id":"https://openalex.org/keywords/radio-frequency","display_name":"Radio frequency","score":0.07412907481193542}],"concepts":[{"id":"https://openalex.org/C9819579","wikidata":"https://www.wikidata.org/wiki/Q1544018","display_name":"Tuner","level":3,"score":0.7414935827255249},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7215887904167175},{"id":"https://openalex.org/C96455323","wikidata":"https://www.wikidata.org/wiki/Q13955","display_name":"Arabic","level":2,"score":0.6843371391296387},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.6756880879402161},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6065921783447266},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5975553393363953},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5733802914619446},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.48116335272789},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4114413261413574},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3422350585460663},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.10531595349311829},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.07809117436408997},{"id":"https://openalex.org/C74064498","wikidata":"https://www.wikidata.org/wiki/Q3396184","display_name":"Radio frequency","level":2,"score":0.07412907481193542},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/sds60720.2024.00012","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sds60720.2024.00012","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 11th IEEE Swiss Conference on Data Science (SDS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W580075149","https://openalex.org/W2064675550","https://openalex.org/W2250539671","https://openalex.org/W2794259165","https://openalex.org/W2889278889","https://openalex.org/W2964573145","https://openalex.org/W3027457715","https://openalex.org/W3033096878","https://openalex.org/W3129207397","https://openalex.org/W3155127099","https://openalex.org/W3164375809","https://openalex.org/W3176029617","https://openalex.org/W3188037342","https://openalex.org/W4236728335","https://openalex.org/W4239025696","https://openalex.org/W4242808804","https://openalex.org/W4289831646","https://openalex.org/W4316371702","https://openalex.org/W4317761973","https://openalex.org/W4318559692","https://openalex.org/W6739901393","https://openalex.org/W6755207826","https://openalex.org/W6763701032","https://openalex.org/W6766673545","https://openalex.org/W6839856813"],"related_works":["https://openalex.org/W2154107929","https://openalex.org/W4290057712","https://openalex.org/W2168846948","https://openalex.org/W2559413996","https://openalex.org/W2559844932","https://openalex.org/W2185884583","https://openalex.org/W2096827166","https://openalex.org/W2108953480","https://openalex.org/W2549354931","https://openalex.org/W2155442923"],"abstract_inverted_index":{"The":[0,63,147,178],"influence":[1],"of":[2,65,73,114,119,149,168,186,198],"social":[3],"media":[4],"platforms":[5],"on":[6,29,139],"our":[7],"daily":[8],"lives":[9],"is":[10,14,37,68,99],"significant,":[11],"and":[12,33,45,91,144],"Twitter":[13],"one":[15],"such":[16],"platform":[17],"that":[18,40,104,153],"can":[19,55,105],"serve":[20],"as":[21,58,94,161],"a":[22,38,95,100,162],"valuable":[23],"source":[24],"for":[25,76,165],"gathering":[26],"public":[27,50],"opinion":[28],"various":[30],"products,":[31],"services,":[32],"events.":[34],"Sentiment":[35],"analysis":[36,75,167],"technique":[39],"involves":[41],"analysing":[42],"the":[43,49,71,112,117,120,134,189],"emotions":[44],"attitudes":[46],"expressed":[47],"by":[48],"toward":[51],"specific":[52],"topics,":[53],"which":[54,110],"be":[56],"categorized":[57],"positive,":[59],"negative,":[60],"or":[61],"neutral.":[62],"aim":[64],"this":[66,150],"study":[67],"to":[69,80,172],"provide":[70],"performance":[72,137],"sentiment":[74,166],"Arabic":[77,169],"tweets":[78,128,170],"related":[79,171],"airline":[81,127,173],"services":[82,174],"in":[83,116,129,175],"Saudi":[84,176],"Arabia":[85],"using":[86,92,159],"two":[87,135],"approaches:":[88],"fine-tuning":[89,154],"AraBERT":[90,93,98,155,160,180,190],"feature":[96,163,191],"extractor.":[97],"pre-trained":[101],"language":[102],"model":[103,181,193],"generate":[106],"contextualized":[107],"word":[108],"embeddings,":[109],"capture":[111],"meaning":[113],"words":[115],"context":[118],"surrounding":[121],"text.":[122],"Our":[123],"corpus":[124],"contained":[125],"9K":[126],"Arabic.":[130],"We":[131],"will":[132],"evaluate":[133],"approaches'":[136],"based":[138],"their":[140],"accuracy,":[141],"precision,":[142],"recall,":[143],"F1":[145],"score.":[146],"outcome":[148],"project":[151],"shows":[152],"performs":[156],"better":[157],"than":[158],"extractor":[164,192],"Arabia.":[177],"fine-tuned":[179],"achieved":[182,194],"an":[183,195],"accuracy":[184,196],"rate":[185,197],"88%,":[187],"whereas":[188],"70%.":[199]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2}],"updated_date":"2026-03-14T08:43:22.919905","created_date":"2025-10-10T00:00:00"}