{"id":"https://openalex.org/W4388931358","doi":"https://doi.org/10.24014/ijaidm.v7i1.24662","title":"Evaluation of Support Vector Machine, Naive Bayes, Decision Tree, and Gradient Boosting Algorithms for Sentiment Analysis on ChatGPT Twitter Dataset","display_name":"Evaluation of Support Vector Machine, Naive Bayes, Decision Tree, and Gradient Boosting Algorithms for Sentiment Analysis on ChatGPT Twitter Dataset","publication_year":2023,"publication_date":"2023-11-16","ids":{"openalex":"https://openalex.org/W4388931358","doi":"https://doi.org/10.24014/ijaidm.v7i1.24662"},"language":"en","primary_location":{"id":"doi:10.24014/ijaidm.v7i1.24662","doi":"https://doi.org/10.24014/ijaidm.v7i1.24662","is_oa":true,"landing_page_url":"http://dx.doi.org/10.24014/ijaidm.v7i1.24662","pdf_url":"https://ejournal.uin-suska.ac.id/index.php/IJAIDM/article/download/24662/pdf","source":{"id":"https://openalex.org/S4210217337","display_name":"Indonesian Journal of Artificial Intelligence and Data Mining","issn_l":"2614-3372","issn":["2614-3372","2614-6150"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4310314947","host_organization_name":"Universitas Islam Negeri Sultan Syarif Kasim Riau","host_organization_lineage":["https://openalex.org/P4310314947"],"host_organization_lineage_names":["Universitas Islam Negeri Sultan Syarif Kasim Riau"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Indonesian Journal of Artificial Intelligence and Data Mining","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://ejournal.uin-suska.ac.id/index.php/IJAIDM/article/download/24662/pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5111065231","display_name":"Salsabila Rabbani","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4405274070","display_name":"Universitas Sains dan Teknologi Indonesia","ror":"https://ror.org/010wbr925","country_code":"ID","type":"education","lineage":["https://openalex.org/I4405274070"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Salsabila Rabbani","raw_affiliation_strings":["STMIK Amik Riau"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"STMIK Amik Riau","institution_ids":["https://openalex.org/I4405274070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005220076","display_name":"Dea Safitri","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4405274070","display_name":"Universitas Sains dan Teknologi Indonesia","ror":"https://ror.org/010wbr925","country_code":"ID","type":"education","lineage":["https://openalex.org/I4405274070"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Dea Safitri","raw_affiliation_strings":["STMIK Amik Riau"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"STMIK Amik Riau","institution_ids":["https://openalex.org/I4405274070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5093050679","display_name":"Farida Try Puspa Siregar","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4405274070","display_name":"Universitas Sains dan Teknologi Indonesia","ror":"https://ror.org/010wbr925","country_code":"ID","type":"education","lineage":["https://openalex.org/I4405274070"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Farida Try Puspa Siregar","raw_affiliation_strings":["STMIK Amik Riau"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"STMIK Amik Riau","institution_ids":["https://openalex.org/I4405274070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082154173","display_name":"Rahmaddeni Rahmaddeni","orcid":"https://orcid.org/0000-0002-4786-8996","observed_orcids":["https://orcid.org/0000-0002-4786-8996"]},"institutions":[{"id":"https://openalex.org/I4405274070","display_name":"Universitas Sains dan Teknologi Indonesia","ror":"https://ror.org/010wbr925","country_code":"ID","type":"education","lineage":["https://openalex.org/I4405274070"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Rahmaddeni Rahmaddeni","raw_affiliation_strings":["STMIK Amik Riau"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"STMIK Amik Riau","institution_ids":["https://openalex.org/I4405274070"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101687574","display_name":"Lusiana Efrizoni","orcid":"https://orcid.org/0000-0002-3153-6233","observed_orcids":["https://orcid.org/0000-0002-3153-6233"]},"institutions":[{"id":"https://openalex.org/I4405274070","display_name":"Universitas Sains dan Teknologi Indonesia","ror":"https://ror.org/010wbr925","country_code":"ID","type":"education","lineage":["https://openalex.org/I4405274070"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Lusiana Efrizoni","raw_affiliation_strings":["STMIK Amik Riau"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"STMIK Amik Riau","institution_ids":["https://openalex.org/I4405274070"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4405274070"],"apc_list":null,"apc_paid":null,"fwci":0.2805,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.49979603,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":95},"biblio":{"volume":"7","issue":"1","first_page":"11","last_page":"11"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":1.0,"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":1.0,"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/T11550","display_name":"Text and Document Classification Technologies","score":9.999999747378752e-05,"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/T13373","display_name":"Data Mining and Machine Learning Applications","score":0.0,"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":0.890999972820282},{"id":"https://openalex.org/keywords/chatgpt","display_name":"ChatGPT","score":0.9350000023841858},{"id":"https://openalex.org/keywords/sentiment-classification","display_name":"sentiment classification","score":0.6729999780654907},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"support vector machine","score":0.7919999957084656},{"id":"https://openalex.org/keywords/naive-bayes","display_name":"naive Bayes","score":0.9670000076293945},{"id":"https://openalex.org/keywords/decision-tree","display_name":"decision tree","score":1.0},{"id":"https://openalex.org/keywords/gradient-boosting","display_name":"gradient boosting","score":1.0},{"id":"https://openalex.org/keywords/user-response","display_name":"user response","score":0.40299999713897705},{"id":"https://openalex.org/keywords/twitter-dataset","display_name":"Twitter dataset","score":0.4410000145435333}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7955633401870728},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.7859368920326233},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7298397421836853},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.7068834900856018},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.663751482963562},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6394058465957642},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.6317176818847656},{"id":"https://openalex.org/C2780586970","wikidata":"https://www.wikidata.org/wiki/Q1357284","display_name":"Popularity","level":2,"score":0.6076536178588867},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.5732064843177795},{"id":"https://openalex.org/C2777200299","wikidata":"https://www.wikidata.org/wiki/Q52943","display_name":"Conversation","level":2,"score":0.5243566036224365},{"id":"https://openalex.org/C70153297","wikidata":"https://www.wikidata.org/wiki/Q5591907","display_name":"Gradient boosting","level":3,"score":0.4824236333370209},{"id":"https://openalex.org/C110083411","wikidata":"https://www.wikidata.org/wiki/Q1744628","display_name":"Statistical classification","level":2,"score":0.4106462001800537},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3860197961330414},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.3116758465766907},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.24014/ijaidm.v7i1.24662","doi":"https://doi.org/10.24014/ijaidm.v7i1.24662","is_oa":true,"landing_page_url":"http://dx.doi.org/10.24014/ijaidm.v7i1.24662","pdf_url":"https://ejournal.uin-suska.ac.id/index.php/IJAIDM/article/download/24662/pdf","source":{"id":"https://openalex.org/S4210217337","display_name":"Indonesian Journal of Artificial Intelligence and Data Mining","issn_l":"2614-3372","issn":["2614-3372","2614-6150"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4310314947","host_organization_name":"Universitas Islam Negeri Sultan Syarif Kasim Riau","host_organization_lineage":["https://openalex.org/P4310314947"],"host_organization_lineage_names":["Universitas Islam Negeri Sultan Syarif Kasim Riau"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Indonesian Journal of Artificial Intelligence and Data Mining","raw_type":"journal-article"},{"id":"pmh:oai:ejournal.uin-suska.ac.id:article/24662","doi":null,"is_oa":true,"landing_page_url":"https://ejournal.uin-suska.ac.id/index.php/index/article/view/24662","pdf_url":null,"source":{"id":"https://openalex.org/S4210217337","display_name":"Indonesian Journal of Artificial Intelligence and Data Mining","issn_l":"2614-3372","issn":["2614-3372","2614-6150"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4310314947","host_organization_name":"Universitas Islam Negeri Sultan Syarif Kasim Riau","host_organization_lineage":["https://openalex.org/P4310314947"],"host_organization_lineage_names":["Universitas Islam Negeri Sultan Syarif Kasim Riau"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2614-3372","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"doi:10.24014/ijaidm.v7i1.24662","doi":"https://doi.org/10.24014/ijaidm.v7i1.24662","is_oa":true,"landing_page_url":"http://dx.doi.org/10.24014/ijaidm.v7i1.24662","pdf_url":"https://ejournal.uin-suska.ac.id/index.php/IJAIDM/article/download/24662/pdf","source":{"id":"https://openalex.org/S4210217337","display_name":"Indonesian Journal of Artificial Intelligence and Data Mining","issn_l":"2614-3372","issn":["2614-3372","2614-6150"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4310314947","host_organization_name":"Universitas Islam Negeri Sultan Syarif Kasim Riau","host_organization_lineage":["https://openalex.org/P4310314947"],"host_organization_lineage_names":["Universitas Islam Negeri Sultan Syarif Kasim Riau"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Indonesian Journal of Artificial Intelligence and Data Mining","raw_type":"journal-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4388931358.pdf","grobid_xml":"https://content.openalex.org/works/W4388931358.grobid-xml"},"referenced_works_count":23,"referenced_works":["https://openalex.org/W2025478229","https://openalex.org/W2033815440","https://openalex.org/W2939026454","https://openalex.org/W2971754179","https://openalex.org/W2995627336","https://openalex.org/W2996005194","https://openalex.org/W3034870045","https://openalex.org/W3035042094","https://openalex.org/W3042910655","https://openalex.org/W3116394266","https://openalex.org/W3135521497","https://openalex.org/W3181205996","https://openalex.org/W3198695837","https://openalex.org/W4210685266","https://openalex.org/W4224926638","https://openalex.org/W4292388031","https://openalex.org/W4294646788","https://openalex.org/W4296202385","https://openalex.org/W4302278403","https://openalex.org/W4320495408","https://openalex.org/W4321524280","https://openalex.org/W4362579746","https://openalex.org/W6931523454"],"related_works":["https://openalex.org/W4383094208","https://openalex.org/W4394995260","https://openalex.org/W4401650710","https://openalex.org/W7220545040","https://openalex.org/W4396599394","https://openalex.org/W4396664450","https://openalex.org/W4388517808","https://openalex.org/W4413997242","https://openalex.org/W4416680188","https://openalex.org/W4407898044"],"abstract_inverted_index":{"ChatGPT":[0,73,153],"is":[1,74,80,134,143],"a":[2,18,27,87,137],"language":[3],"model":[4,31],"employed":[5],"to":[6,34,61,128,145,151],"produce":[7],"text":[8,22],"and":[9,23,37,108,148,154],"engage":[10],"in":[11,26,96],"conversation":[12],"with":[13,86,125],"users.":[14],"It":[15],"serves":[16],"as":[17],"tool":[19],"for":[20,59],"generating":[21],"facilitating":[24],"interactions":[25],"conversational":[28],"manner.":[29],"The":[30,77,92],"was":[32],"designed":[33],"provide":[35],"relevant":[36],"useful":[38],"responses":[39,63,157],"based":[40],"on":[41],"the":[42,45,49,65,83,112,115,121,132],"context":[43],"of":[44,52,67,72,89,139],"ongoing":[46],"conversation.":[47],"By":[48],"increasing":[50],"popularity":[51],"using":[53],"ChatGPT,":[54],"it":[55,57],"makes":[56],"difficult":[58],"users":[60],"classify":[62],"about":[64],"use":[66],"ChatGPT.":[68],"Therefore,":[69],"sentiment":[70],"classification":[71,93],"carried":[75],"out.":[76],"dataset":[78],"used":[79,95],"sourced":[81],"from":[82],"kaggle":[84],"website":[85],"total":[88],"20,000":[90],"data.":[91],"methods":[94],"this":[97],"research":[98,113,142],"include":[99],"Support":[100,116],"Vector":[101,117],"Machine":[102,118],"(SVM),":[103],"Na\u00efve":[104],"Bayes,":[105],"Decision":[106],"Tree,":[107],"Gradient":[109],"Boosting.":[110],"Through":[111],"results,":[114],"algorithm":[119],"had":[120],"highest":[122],"accuracy":[123],"value":[124],"80%":[126],"compared":[127],"other":[129],"methods,":[130],"when":[131],"data":[133],"divided":[135],"by":[136],"ratio":[138],"90:10.":[140],"This":[141],"expected":[144],"help":[146],"developers":[147],"service":[149],"providers":[150],"improve":[152],"understand":[155],"user":[156],"better.":[158]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1}],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2023-11-24T00:00:00"}
