{"id":"https://openalex.org/W4386066417","doi":"https://doi.org/10.1109/smartnets58706.2023.10215977","title":"Sentiment Analysis of Using ChatGPT in Education","display_name":"Sentiment Analysis of Using ChatGPT in Education","publication_year":2023,"publication_date":"2023-07-25","ids":{"openalex":"https://openalex.org/W4386066417","doi":"https://doi.org/10.1109/smartnets58706.2023.10215977"},"language":"en","primary_location":{"id":"doi:10.1109/smartnets58706.2023.10215977","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smartnets58706.2023.10215977","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 International Conference on Smart Applications, Communications and Networking (SmartNets)","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/A5091844455","display_name":"Mohammad Tubishat","orcid":"https://orcid.org/0000-0003-1464-8345"},"institutions":[{"id":"https://openalex.org/I91044093","display_name":"Zayed University","ror":"https://ror.org/03snqfa66","country_code":"AE","type":"education","lineage":["https://openalex.org/I91044093"]}],"countries":["AE"],"is_corresponding":true,"raw_author_name":"Mohammad Tubishat","raw_affiliation_strings":["Zayed University,College of Technological Innovation,UAE","College of Technological Innovation, Zayed University, UAE"],"affiliations":[{"raw_affiliation_string":"Zayed University,College of Technological Innovation,UAE","institution_ids":["https://openalex.org/I91044093"]},{"raw_affiliation_string":"College of Technological Innovation, Zayed University, UAE","institution_ids":["https://openalex.org/I91044093"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037131693","display_name":"Feras Al\u2010Obeidat","orcid":"https://orcid.org/0000-0001-6941-6555"},"institutions":[{"id":"https://openalex.org/I91044093","display_name":"Zayed University","ror":"https://ror.org/03snqfa66","country_code":"AE","type":"education","lineage":["https://openalex.org/I91044093"]}],"countries":["AE"],"is_corresponding":false,"raw_author_name":"Feras Al-Obeidat","raw_affiliation_strings":["Zayed University,College of Technological Innovation,UAE","College of Technological Innovation, Zayed University, UAE"],"affiliations":[{"raw_affiliation_string":"Zayed University,College of Technological Innovation,UAE","institution_ids":["https://openalex.org/I91044093"]},{"raw_affiliation_string":"College of Technological Innovation, Zayed University, UAE","institution_ids":["https://openalex.org/I91044093"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014266735","display_name":"Ahmed Shuhaiber","orcid":"https://orcid.org/0000-0001-9827-2028"},"institutions":[{"id":"https://openalex.org/I91044093","display_name":"Zayed University","ror":"https://ror.org/03snqfa66","country_code":"AE","type":"education","lineage":["https://openalex.org/I91044093"]}],"countries":["AE"],"is_corresponding":false,"raw_author_name":"Ahmed Shuhaiber","raw_affiliation_strings":["Zayed University,College of Technological Innovation,UAE","College of Technological Innovation, Zayed University, UAE"],"affiliations":[{"raw_affiliation_string":"Zayed University,College of Technological Innovation,UAE","institution_ids":["https://openalex.org/I91044093"]},{"raw_affiliation_string":"College of Technological Innovation, Zayed University, UAE","institution_ids":["https://openalex.org/I91044093"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5091844455"],"corresponding_institution_ids":["https://openalex.org/I91044093"],"apc_list":null,"apc_paid":null,"fwci":4.1815,"has_fulltext":false,"cited_by_count":24,"citation_normalized_percentile":{"value":0.95308216,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9984999895095825,"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":0.9984999895095825,"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/T10028","display_name":"Topic Modeling","score":0.9980999827384949,"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/T11122","display_name":"Online Learning and Analytics","score":0.9955000281333923,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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":0.8632359504699707},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.8199484348297119},{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.8086193799972534},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.6675748825073242},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6439721584320068},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6386539340019226},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5202961564064026},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5114463567733765},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.4940967857837677},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4451085925102234},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08997443318367004}],"concepts":[{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.8632359504699707},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.8199484348297119},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.8086193799972534},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.6675748825073242},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6439721584320068},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6386539340019226},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5202961564064026},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5114463567733765},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.4940967857837677},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4451085925102234},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08997443318367004},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/smartnets58706.2023.10215977","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smartnets58706.2023.10215977","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 International Conference on Smart Applications, Communications and Networking (SmartNets)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.8399999737739563}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W3199146084","https://openalex.org/W3213662918","https://openalex.org/W4210843599","https://openalex.org/W4214770075","https://openalex.org/W4280495986","https://openalex.org/W4317542800","https://openalex.org/W4317910584","https://openalex.org/W4318257512","https://openalex.org/W4318464200","https://openalex.org/W4319350602","https://openalex.org/W4320342993","https://openalex.org/W4321479909","https://openalex.org/W4321499901","https://openalex.org/W6849636505"],"related_works":["https://openalex.org/W4367336074","https://openalex.org/W4379620016","https://openalex.org/W3154045278","https://openalex.org/W3210764983","https://openalex.org/W4367335949","https://openalex.org/W3089416646","https://openalex.org/W4380048833","https://openalex.org/W4285162676","https://openalex.org/W4382052559","https://openalex.org/W3036529732"],"abstract_inverted_index":{"This":[0],"paper":[1,115],"presents":[2],"a":[3,22,128],"study":[4,137],"on":[5,60],"the":[6,9,30,33,56,61,74,85,98,103,114,136,139,145,171,173,177],"use":[7,31,75],"of":[8,26,32,39,76,113,147,180],"Chat":[10],"Generative":[11],"Pretrained":[12],"Transformer":[13],"(ChatGPT)":[14],"in":[15,35,55,78,84,102,142,149],"education.":[16,36,79],"In":[17,134],"this":[18,40],"work,":[19],"we":[20],"propose":[21],"sentiment":[23],"analysis":[24],"model":[25],"tweets":[27,72,86,119,143],"related":[28],"to":[29,43,69,170],"ChatGPT":[34,54,77,121,148],"The":[37,111],"purpose":[38],"research":[41],"is":[42],"identify":[44],"common":[45],"sentiments,":[46],"topics,":[47],"and":[48,81,92,105,165],"perspectives":[49],"that":[50,117],"are":[51,109,122],"expressed":[52,83,141],"towards":[53],"education":[57,150],"field":[58],"based":[59],"data":[62],"collected":[63],"from":[64],"Twitter.":[65],"Twitter":[66],"was":[67],"used":[68],"collect":[70],"11830":[71],"about":[73,120,144],"Topics":[80],"emotions":[82],"were":[87],"extracted":[88],"using":[89,151],"NLP":[90],"algorithms":[91],"organized":[93],"into":[94],"distinct":[95],"groups.":[96],"Also,":[97],"most":[99,118],"frequent":[100],"words":[101,108],"positive":[104,124],"negative":[106,132],"opinion":[107],"determined.":[110],"findings":[112],"indicate":[116],"either":[123],"or":[125],"neutral,":[126],"with":[127],"small":[129],"percentage":[130],"expressing":[131],"sentiments.":[133],"addition,":[135],"analyzes":[138],"sentiments":[140],"employment":[146],"four":[152],"different":[153],"classifiers:":[154],"Naive":[155],"Bayes":[156],"(NB),":[157],"Support":[158],"Vector":[159],"Machine":[160],"(SVM),":[161],"K-Nearest":[162],"Neighbors":[163],"(KNN),":[164],"Random":[166],"Forest":[167],"(RF).":[168],"According":[169],"results,":[172],"SVM":[174],"classifier":[175],"has":[176],"highest":[178],"accuracy":[179],"81.4":[181],"percent.":[182]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":3}],"updated_date":"2026-02-28T09:26:25.869077","created_date":"2025-10-10T00:00:00"}