{"id":"https://openalex.org/W1900674032","doi":"https://doi.org/10.24843/mtk.2014.v03.i03.p070","title":"ANALISIS SENTIMEN MENGGUNAKAN METODE NA\u00cfVE BAYES CLASSIFIER DENGAN SELEKSI FITUR CHI SQUARE","display_name":"ANALISIS SENTIMEN MENGGUNAKAN METODE NA\u00cfVE BAYES CLASSIFIER DENGAN SELEKSI FITUR CHI SQUARE","publication_year":2014,"publication_date":"2014-08-29","ids":{"openalex":"https://openalex.org/W1900674032","doi":"https://doi.org/10.24843/mtk.2014.v03.i03.p070","mag":"1900674032"},"language":"en","primary_location":{"id":"doi:10.24843/mtk.2014.v03.i03.p070","doi":"https://doi.org/10.24843/mtk.2014.v03.i03.p070","is_oa":true,"landing_page_url":"https://doi.org/10.24843/mtk.2014.v03.i03.p070","pdf_url":"https://ojs.unud.ac.id/index.php/mtk/article/download/11992/8294","source":{"id":"https://openalex.org/S2738168494","display_name":"E-Jurnal Matematika","issn_l":"2303-1751","issn":["2303-1751"],"is_oa":true,"is_in_doaj":true,"is_core":false,"listed_in":["doaj"],"host_organization":"https://openalex.org/P4310314998","host_organization_name":"Udayana University","host_organization_lineage":["https://openalex.org/P4310314998"],"host_organization_lineage_names":["Udayana University"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"E-Jurnal Matematika","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://ojs.unud.ac.id/index.php/mtk/article/download/11992/8294","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5063246380","display_name":"JUEN LING","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I126826664","display_name":"Udayana University","ror":"https://ror.org/035qsg823","country_code":"ID","type":"education","lineage":["https://openalex.org/I126826664"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"JUEN LING","raw_affiliation_strings":["Faculty of Mathematics and Natural Sciences, Udayana University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Mathematics and Natural Sciences, Udayana University","institution_ids":["https://openalex.org/I126826664"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043579442","display_name":"I PUTU EKA NILA KENCANA","orcid":"https://orcid.org/0000-0003-1935-0142","observed_orcids":["https://orcid.org/0000-0003-1935-0142"]},"institutions":[{"id":"https://openalex.org/I126826664","display_name":"Udayana University","ror":"https://ror.org/035qsg823","country_code":"ID","type":"education","lineage":["https://openalex.org/I126826664"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"I PUTU EKA N. KENCANA","raw_affiliation_strings":["Faculty of Mathematics and Natural Sciences, Udayana University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Mathematics and Natural Sciences, Udayana University","institution_ids":["https://openalex.org/I126826664"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078456484","display_name":"Tjokorda Bagus Oka","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I126826664","display_name":"Udayana University","ror":"https://ror.org/035qsg823","country_code":"ID","type":"education","lineage":["https://openalex.org/I126826664"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"TJOKORDA BAGUS OKA","raw_affiliation_strings":["Faculty of Mathematics and Natural Sciences, Udayana University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Mathematics and Natural Sciences, Udayana University","institution_ids":["https://openalex.org/I126826664"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I126826664"],"apc_list":null,"apc_paid":null,"fwci":0.2978,"has_fulltext":true,"cited_by_count":36,"citation_normalized_percentile":{"value":0.63527602,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"3","issue":"3","first_page":"92","last_page":"92"},"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":0.00019999999494757503,"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":0.9990000128746033},{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.8339999914169312},{"id":"https://openalex.org/keywords/chi-square-feature-selection","display_name":"chi-square feature selection","score":0.9980000257492065},{"id":"https://openalex.org/keywords/text-classification","display_name":"text classification","score":0.8849999904632568},{"id":"https://openalex.org/keywords/sentiment-polarity-classification","display_name":"polarity classification","score":0.8799999952316284},{"id":"https://openalex.org/keywords/feature-selection","display_name":"feature selection","score":0.6830000281333923},{"id":"https://openalex.org/keywords/news-classification","display_name":"news classification","score":0.4880000054836273}],"concepts":[{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.7292933464050293},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.686945378780365},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6355664730072021},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.6098877191543579},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.5846084356307983},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5828810930252075},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.5644271969795227},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5488959550857544},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5171256065368652},{"id":"https://openalex.org/C2777361361","wikidata":"https://www.wikidata.org/wiki/Q1112585","display_name":"Polarity (international relations)","level":3,"score":0.49347984790802},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.09044557809829712},{"id":"https://openalex.org/C1491633281","wikidata":"https://www.wikidata.org/wiki/Q7868","display_name":"Cell","level":2,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.24843/mtk.2014.v03.i03.p070","doi":"https://doi.org/10.24843/mtk.2014.v03.i03.p070","is_oa":true,"landing_page_url":"https://doi.org/10.24843/mtk.2014.v03.i03.p070","pdf_url":"https://ojs.unud.ac.id/index.php/mtk/article/download/11992/8294","source":{"id":"https://openalex.org/S2738168494","display_name":"E-Jurnal Matematika","issn_l":"2303-1751","issn":["2303-1751"],"is_oa":true,"is_in_doaj":true,"is_core":false,"listed_in":["doaj"],"host_organization":"https://openalex.org/P4310314998","host_organization_name":"Udayana University","host_organization_lineage":["https://openalex.org/P4310314998"],"host_organization_lineage_names":["Udayana University"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"E-Jurnal Matematika","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:758b12f28ae84f3d98db703b838ca696","doi":null,"is_oa":false,"landing_page_url":"https://doaj.org/article/758b12f28ae84f3d98db703b838ca696","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"E-Jurnal Matematika, Vol 3, Iss 3, Pp 92-99 (2014)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.24843/mtk.2014.v03.i03.p070","doi":"https://doi.org/10.24843/mtk.2014.v03.i03.p070","is_oa":true,"landing_page_url":"https://doi.org/10.24843/mtk.2014.v03.i03.p070","pdf_url":"https://ojs.unud.ac.id/index.php/mtk/article/download/11992/8294","source":{"id":"https://openalex.org/S2738168494","display_name":"E-Jurnal Matematika","issn_l":"2303-1751","issn":["2303-1751"],"is_oa":true,"is_in_doaj":true,"is_core":false,"listed_in":["doaj"],"host_organization":"https://openalex.org/P4310314998","host_organization_name":"Udayana University","host_organization_lineage":["https://openalex.org/P4310314998"],"host_organization_lineage_names":["Udayana University"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"E-Jurnal Matematika","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/W1900674032.pdf","grobid_xml":"https://content.openalex.org/works/W1900674032.grobid-xml"},"referenced_works_count":17,"referenced_works":["https://openalex.org/W142212369","https://openalex.org/W1532325895","https://openalex.org/W1976401735","https://openalex.org/W2084046180","https://openalex.org/W2108646579","https://openalex.org/W2120727477","https://openalex.org/W2126538150","https://openalex.org/W2325461542","https://openalex.org/W2463085687","https://openalex.org/W2756474357","https://openalex.org/W3143189308","https://openalex.org/W4211186029","https://openalex.org/W4213009331","https://openalex.org/W4385414156","https://openalex.org/W6738852829","https://openalex.org/W6793170202","https://openalex.org/W7099734215"],"related_works":["https://openalex.org/W4389301232","https://openalex.org/W3001966200","https://openalex.org/W3132084648","https://openalex.org/W4290610305","https://openalex.org/W4416680095","https://openalex.org/W3129345204","https://openalex.org/W4309242535","https://openalex.org/W2898691784","https://openalex.org/W4385984064","https://openalex.org/W3156105515"],"abstract_inverted_index":{"Sentiment":[0],"analysis":[1,19,63],"is":[2,20,39,69,89,125],"the":[3,23,26,42,46,59,82,94,100,105,119,135,139,145,150,154,159,167],"computational":[4],"study":[5],"of":[6,17,25,58,107,111,121,147,149,182,188],"opinions,":[7],"sentiments,":[8],"and":[9,127,157,184],"emotions":[10],"expressed":[11],"in":[12,29,41,61,138,153,158,166],"texts.":[13],"The":[14,84,141],"basic":[15],"task":[16],"sentiment":[18,62],"to":[21,104,115,133],"classify":[22],"polarity":[24,60],"existing":[27],"texts":[28],"documents,":[30],"sentences,":[31],"or":[32,45,51],"opinions.":[33],"Polarity":[34],"has":[35,48],"meaning":[36],"if":[37],"there":[38],"text":[40,75],"document,":[43],"sentence,":[44],"opinion":[47],"a":[49,109,185],"positive":[50],"negative":[52],"aspect.":[53],"In":[54,118],"this":[55],"study,":[56],"classification":[57,76,88,172],"using":[64],"machine":[65],"learning":[66,81],"techniques,":[67],"that":[68,144],"Na\u00efve":[70,176],"Bayes":[71,177],"classifier.":[72],"Criteria":[73],"for":[74,86],"decisions,":[77],"learned":[78],"automatically":[79],"from":[80,97],"data.":[83],"need":[85],"manual":[87],"still":[90],"required":[91],"because":[92],"training":[93],"data":[95,113],"derived":[96],"manually":[98],"labeling,":[99,122],"label":[101],"(feature)":[102],"refers":[103],"process":[106,120],"adding":[108],"description":[110],"each":[112],"according":[114],"its":[116],"category.":[117],"feature":[123,131,169],"selection":[124],"used":[126],"performed":[128],"by":[129,175],"chi-square":[130,168],"selection,":[132],"reduce":[134],"disturbance":[136],"(noise)":[137],"classification.":[140],"results":[142],"showed":[143],"frequency":[146],"occurrences":[148],"expected":[151],"features":[152],"true":[155],"category":[156,161],"false":[160],"have":[162],"an":[163,180],"important":[164],"role":[165],"selection.":[170],"Then":[171],"breaking":[173],"news":[174],"classifier":[178],"obtained":[179],"accuracy":[181],"83%":[183],"harmonic":[186],"average":[187],"90.713%.":[189]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":7},{"year":2018,"cited_by_count":2},{"year":2016,"cited_by_count":1}],"updated_date":"2026-11-10T11:39:43.021295","created_date":"2016-06-24T00:00:00"}