{"id":"https://openalex.org/W2783474735","doi":"https://doi.org/10.5539/cis.v11n1p52","title":"Stock Market Classification Model Using Sentiment Analysis on Twitter Based on Hybrid Naive Bayes Classifiers","display_name":"Stock Market Classification Model Using Sentiment Analysis on Twitter Based on Hybrid Naive Bayes Classifiers","publication_year":2018,"publication_date":"2018-01-11","ids":{"openalex":"https://openalex.org/W2783474735","doi":"https://doi.org/10.5539/cis.v11n1p52","mag":"2783474735"},"language":"en","primary_location":{"id":"doi:10.5539/cis.v11n1p52","is_oa":true,"landing_page_url":"https://doi.org/10.5539/cis.v11n1p52","pdf_url":"http://www.ccsenet.org/journal/index.php/cis/article/download/72739/40002","source":{"id":"https://openalex.org/S2764452479","display_name":"Computer and Information Science","issn_l":"1913-8989","issn":["1913-8989","1913-8997"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310322531","host_organization_name":"Canadian Center of Science and Education","host_organization_lineage":["https://openalex.org/P4310322531"],"host_organization_lineage_names":["Canadian Center of Science and Education"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computer and Information Science","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"http://www.ccsenet.org/journal/index.php/cis/article/download/72739/40002","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5084457110","display_name":"Ghaith Abdulsattar A. Jabbar Alkubaisi","orcid":"https://orcid.org/0000-0002-9744-311X"},"institutions":[{"id":"https://openalex.org/I94625822","display_name":"Northern University of Malaysia","ror":"https://ror.org/01ss10648","country_code":"MY","type":"education","lineage":["https://openalex.org/I94625822"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Ghaith Abdulsattar A.Jabbar Alkubaisi","raw_affiliation_strings":["School of Computing, Universiti Utara Malaysia, Sintok, 06010, Malaysia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computing, Universiti Utara Malaysia, Sintok, 06010, Malaysia","institution_ids":["https://openalex.org/I94625822"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088005888","display_name":"Siti Sakira Kamaruddin","orcid":"https://orcid.org/0000-0002-5937-7801"},"institutions":[{"id":"https://openalex.org/I94625822","display_name":"Northern University of Malaysia","ror":"https://ror.org/01ss10648","country_code":"MY","type":"education","lineage":["https://openalex.org/I94625822"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Siti Sakira Kamaruddin","raw_affiliation_strings":["School of Computing, Universiti Utara Malaysia, Sintok, Malaysia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computing, Universiti Utara Malaysia, Sintok, Malaysia","institution_ids":["https://openalex.org/I94625822"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058486673","display_name":"Husniza Husni","orcid":"https://orcid.org/0000-0002-5940-4566"},"institutions":[{"id":"https://openalex.org/I94625822","display_name":"Northern University of Malaysia","ror":"https://ror.org/01ss10648","country_code":"MY","type":"education","lineage":["https://openalex.org/I94625822"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Husniza Husni","raw_affiliation_strings":["School of Computing, Universiti Utara Malaysia, Sintok, Malaysia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computing, Universiti Utara Malaysia, Sintok, Malaysia","institution_ids":["https://openalex.org/I94625822"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I94625822"],"apc_list":null,"apc_paid":null,"fwci":4.0949,"has_fulltext":true,"cited_by_count":46,"citation_normalized_percentile":{"value":0.95017514,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":"11","issue":"1","first_page":"52","last_page":"52"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9991999864578247,"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":0.9991999864578247,"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/T11326","display_name":"Stock Market Forecasting Methods","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12761","display_name":"Data Stream Mining Techniques","score":0.9937999844551086,"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/computer-science","display_name":"Computer science","score":0.7975074052810669},{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.7333328723907471},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.7248272895812988},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5947794914245605},{"id":"https://openalex.org/keywords/stock-market","display_name":"Stock market","score":0.5835473537445068},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5505526065826416},{"id":"https://openalex.org/keywords/stock-market-prediction","display_name":"Stock market prediction","score":0.4804534316062927},{"id":"https://openalex.org/keywords/stock","display_name":"Stock (firearms)","score":0.4303953945636749},{"id":"https://openalex.org/keywords/bayes-theorem","display_name":"Bayes' theorem","score":0.42270639538764954},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.39090198278427124},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.31815779209136963},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.1544802486896515}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7975074052810669},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.7333328723907471},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.7248272895812988},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5947794914245605},{"id":"https://openalex.org/C2780299701","wikidata":"https://www.wikidata.org/wiki/Q475000","display_name":"Stock market","level":3,"score":0.5835473537445068},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5505526065826416},{"id":"https://openalex.org/C2776256503","wikidata":"https://www.wikidata.org/wiki/Q7617906","display_name":"Stock market prediction","level":4,"score":0.4804534316062927},{"id":"https://openalex.org/C204036174","wikidata":"https://www.wikidata.org/wiki/Q909380","display_name":"Stock (firearms)","level":2,"score":0.4303953945636749},{"id":"https://openalex.org/C207201462","wikidata":"https://www.wikidata.org/wiki/Q182505","display_name":"Bayes' theorem","level":3,"score":0.42270639538764954},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.39090198278427124},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.31815779209136963},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.1544802486896515},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C2780762169","wikidata":"https://www.wikidata.org/wiki/Q5905368","display_name":"Horse","level":2,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.5539/cis.v11n1p52","is_oa":true,"landing_page_url":"https://doi.org/10.5539/cis.v11n1p52","pdf_url":"http://www.ccsenet.org/journal/index.php/cis/article/download/72739/40002","source":{"id":"https://openalex.org/S2764452479","display_name":"Computer and Information Science","issn_l":"1913-8989","issn":["1913-8989","1913-8997"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310322531","host_organization_name":"Canadian Center of Science and Education","host_organization_lineage":["https://openalex.org/P4310322531"],"host_organization_lineage_names":["Canadian Center of Science and Education"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computer and Information Science","raw_type":"journal-article"},{"id":"pmh:oai:repo.uum.edu.my:25653","is_oa":false,"landing_page_url":"http://repo.uum.edu.my/25653/","pdf_url":null,"source":{"id":"https://openalex.org/S4306400886","display_name":"Universiti Utara Malaysia Institutional Repository (Universiti Utara Malaysia)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I65079550","host_organization_name":"Universiti Malaysia Perlis","host_organization_lineage":["https://openalex.org/I65079550"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"}],"best_oa_location":{"id":"doi:10.5539/cis.v11n1p52","is_oa":true,"landing_page_url":"https://doi.org/10.5539/cis.v11n1p52","pdf_url":"http://www.ccsenet.org/journal/index.php/cis/article/download/72739/40002","source":{"id":"https://openalex.org/S2764452479","display_name":"Computer and Information Science","issn_l":"1913-8989","issn":["1913-8989","1913-8997"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310322531","host_organization_name":"Canadian Center of Science and Education","host_organization_lineage":["https://openalex.org/P4310322531"],"host_organization_lineage_names":["Canadian Center of Science and Education"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computer and Information Science","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2783474735.pdf","grobid_xml":"https://content.openalex.org/works/W2783474735.grobid-xml"},"referenced_works_count":77,"referenced_works":["https://openalex.org/W144670803","https://openalex.org/W163054539","https://openalex.org/W359818833","https://openalex.org/W575482606","https://openalex.org/W1259090559","https://openalex.org/W1512609712","https://openalex.org/W1684832230","https://openalex.org/W1890727290","https://openalex.org/W1899967664","https://openalex.org/W1918540025","https://openalex.org/W1933546049","https://openalex.org/W1965484229","https://openalex.org/W1978554382","https://openalex.org/W2009696820","https://openalex.org/W2012971775","https://openalex.org/W2017733151","https://openalex.org/W2052635433","https://openalex.org/W2070013029","https://openalex.org/W2070600700","https://openalex.org/W2079281079","https://openalex.org/W2096118443","https://openalex.org/W2096472197","https://openalex.org/W2096707493","https://openalex.org/W2102717737","https://openalex.org/W2108646579","https://openalex.org/W2115839797","https://openalex.org/W2126526490","https://openalex.org/W2149167588","https://openalex.org/W2168681504","https://openalex.org/W2171468534","https://openalex.org/W2183842764","https://openalex.org/W2183952936","https://openalex.org/W2204187200","https://openalex.org/W2207631730","https://openalex.org/W2241127870","https://openalex.org/W2249458377","https://openalex.org/W2251939052","https://openalex.org/W2267835966","https://openalex.org/W2287044641","https://openalex.org/W2310404790","https://openalex.org/W2317789633","https://openalex.org/W2321389449","https://openalex.org/W2341782166","https://openalex.org/W2343999414","https://openalex.org/W2365919995","https://openalex.org/W2431829863","https://openalex.org/W2488885779","https://openalex.org/W2514053686","https://openalex.org/W2515298219","https://openalex.org/W2515404780","https://openalex.org/W2517572945","https://openalex.org/W2517761294","https://openalex.org/W2520314979","https://openalex.org/W2521211816","https://openalex.org/W2532561422","https://openalex.org/W2533569512","https://openalex.org/W2533637493","https://openalex.org/W2536583325","https://openalex.org/W2539254112","https://openalex.org/W2569112930","https://openalex.org/W2576336864","https://openalex.org/W2590732462","https://openalex.org/W2949965121","https://openalex.org/W2992747113","https://openalex.org/W3098239359","https://openalex.org/W3146200671","https://openalex.org/W4206626294","https://openalex.org/W4385414156","https://openalex.org/W6606582261","https://openalex.org/W6630713748","https://openalex.org/W6639481793","https://openalex.org/W6677402739","https://openalex.org/W6685275399","https://openalex.org/W6691238453","https://openalex.org/W6718283901","https://openalex.org/W6736960337","https://openalex.org/W6806935600"],"related_works":["https://openalex.org/W2537862391","https://openalex.org/W2417174640","https://openalex.org/W2586556113","https://openalex.org/W2542516223","https://openalex.org/W3135178882","https://openalex.org/W2624043242","https://openalex.org/W3209908847","https://openalex.org/W3023530306","https://openalex.org/W2110351804","https://openalex.org/W1980850818"],"abstract_inverted_index":{"Sentiment":[0],"analysis":[1,41,69],"has":[2,26,52,216,222],"become":[3],"one":[4],"of":[5,22,35,59,70,94,125,151,211],"the":[6,20,36,57,68,71,88,101,104,144,152,164,168,209],"most":[7,117],"popular":[8],"process":[9],"to":[10,39,86,111,137,203,208],"predict":[11],"stock":[12,60,153,186],"market":[13,61,154,187],"behaviour":[14],"based":[15],"on":[16,56,67],"consumer":[17],"reactions.":[18],"Concurrently,":[19],"availability":[21],"data":[23,98,126],"from":[24,45],"Twitter":[25,72],"also":[27],"attracted":[28],"researchers":[29,197],"towards":[30],"this":[31,81,95],"research":[32],"area.":[33],"Most":[34],"models":[37],"related":[38],"sentiment":[40],"are":[42,109,135,155],"still":[43],"suffering":[44],"inaccuracies.":[46],"The":[47,63,91,116,140,189,213],"low":[48],"accuracy":[49,224],"in":[50,80,122,147],"classification":[51,89,145],"a":[53,181,218],"direct":[54],"effect":[55],"reliability":[58],"indicators.":[62],"study":[64,173],"primarily":[65],"focuses":[66],"dataset.":[73],"Moreover,":[74],"an":[75],"improved":[76],"model":[77,96],"is":[78,84,97,120,127,143,167,191],"proposed":[79,214],"study;":[82],"it":[83,199,221],"designed":[85],"enhance":[87],"accuracy.":[90],"first":[92],"phase":[93,119,142,146,166],"collection,":[99],"and":[100,106,129,163,170,196],"second":[102],"involves":[103],"filtration":[105],"transformation,":[107],"which":[108,123,148],"conducted":[110],"get":[112],"only":[113],"relevant":[114],"data.":[115],"crucial":[118],"labelling,":[121],"polarity":[124],"determined":[128],"negative,":[130],"positive":[131],"or":[132],"neutral":[133],"values":[134],"assigned":[136],"people":[138],"opinion.":[139],"fourth":[141],"suitable":[149],"patterns":[150],"identified":[156],"by":[157],"hybridizing":[158],"Na\u00efve":[159,176],"Bayes":[160,177],"Classifiers":[161,178],"(NBCs),":[162],"final":[165],"performance":[169],"evaluation.":[171],"This":[172],"proposes":[174],"Hybrid":[175],"(HNBCs)":[179],"as":[180],"machine":[182],"learning":[183],"method":[184,215],"for":[185,193],"classification.":[188],"outcome":[190],"instrumental":[192],"investors,":[194],"companies,":[195],"whereby":[198],"will":[200],"enable":[201],"them":[202],"formulate":[204],"their":[205],"plans":[206],"according":[207],"sentiments":[210],"people.":[212],"produced":[217],"significant":[219],"result;":[220],"achieved":[223],"equals":[225],"90.38%.":[226]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":11},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":7},{"year":2018,"cited_by_count":3}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2018-01-26T00:00:00"}