{"id":"https://openalex.org/W2916675586","doi":"https://doi.org/10.3233/ida-173740","title":"Ant colony optimization for text feature selection in sentiment analysis","display_name":"Ant colony optimization for text feature selection in sentiment analysis","publication_year":2019,"publication_date":"2019-02-20","ids":{"openalex":"https://openalex.org/W2916675586","doi":"https://doi.org/10.3233/ida-173740","mag":"2916675586"},"language":"en","primary_location":{"id":"doi:10.3233/ida-173740","is_oa":false,"landing_page_url":"https://doi.org/10.3233/ida-173740","pdf_url":null,"source":{"id":"https://openalex.org/S2498839158","display_name":"Intelligent Data Analysis","issn_l":"1088-467X","issn":["1088-467X","1571-4128"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Intelligent Data Analysis","raw_type":"journal-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/A5017113695","display_name":"Siti Rohaidah Ahmad","orcid":"https://orcid.org/0000-0001-5045-9803"},"institutions":[{"id":"https://openalex.org/I55141112","display_name":"National Defence University of Malaysia","ror":"https://ror.org/00t53pv34","country_code":"MY","type":"education","lineage":["https://openalex.org/I55141112"]}],"countries":["MY"],"is_corresponding":true,"raw_author_name":"Siti Rohaidah Ahmad","raw_affiliation_strings":["Department of Computer Science, Faculty of Defence Science and Technology, Universiti Pertahanan Nasional Malaysia, Kuala Lumpur 57000, Malaysia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Faculty of Defence Science and Technology, Universiti Pertahanan Nasional Malaysia, Kuala Lumpur 57000, Malaysia","institution_ids":["https://openalex.org/I55141112"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042883130","display_name":"Azuraliza Abu Bakar","orcid":null},"institutions":[{"id":"https://openalex.org/I885383172","display_name":"National University of Malaysia","ror":"https://ror.org/00bw8d226","country_code":"MY","type":"education","lineage":["https://openalex.org/I885383172"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Azuraliza Abu Bakar","raw_affiliation_strings":["Data Mining and Optimization Research Group, Centre for Artificial Intelligence Technology, Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia, Bangi Selangor 46000, Malaysia","E-mail:"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Data Mining and Optimization Research Group, Centre for Artificial Intelligence Technology, Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia, Bangi Selangor 46000, Malaysia","institution_ids":["https://openalex.org/I885383172"]},{"raw_affiliation_string":"E-mail:","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035181407","display_name":"Mohd Ridzwan Yaakub","orcid":"https://orcid.org/0000-0001-6290-8346"},"institutions":[{"id":"https://openalex.org/I885383172","display_name":"National University of Malaysia","ror":"https://ror.org/00bw8d226","country_code":"MY","type":"education","lineage":["https://openalex.org/I885383172"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Mohd Ridzwan Yaakub","raw_affiliation_strings":["Data Mining and Optimization Research Group, Centre for Artificial Intelligence Technology, Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia, Bangi Selangor 46000, Malaysia","E-mail:"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Data Mining and Optimization Research Group, Centre for Artificial Intelligence Technology, Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia, Bangi Selangor 46000, Malaysia","institution_ids":["https://openalex.org/I885383172"]},{"raw_affiliation_string":"E-mail:","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5017113695"],"corresponding_institution_ids":["https://openalex.org/I55141112"],"apc_list":null,"apc_paid":null,"fwci":3.0106,"has_fulltext":false,"cited_by_count":48,"citation_normalized_percentile":{"value":0.92632056,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"23","issue":"1","first_page":"133","last_page":"158"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9994000196456909,"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":0.9994000196456909,"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":0.9897000193595886,"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/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9663000106811523,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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":0.7340193390846252},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.687761664390564},{"id":"https://openalex.org/keywords/ant-colony-optimization-algorithms","display_name":"Ant colony optimization algorithms","score":0.6696323752403259},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6543897390365601},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.6320433020591736},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5060088038444519},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5030152201652527},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4477154314517975},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3338547945022583}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7340193390846252},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.687761664390564},{"id":"https://openalex.org/C40128228","wikidata":"https://www.wikidata.org/wiki/Q460851","display_name":"Ant colony optimization algorithms","level":2,"score":0.6696323752403259},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6543897390365601},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.6320433020591736},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5060088038444519},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5030152201652527},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4477154314517975},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3338547945022583}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/ida-173740","is_oa":false,"landing_page_url":"https://doi.org/10.3233/ida-173740","pdf_url":null,"source":{"id":"https://openalex.org/S2498839158","display_name":"Intelligent Data Analysis","issn_l":"1088-467X","issn":["1088-467X","1571-4128"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Intelligent Data Analysis","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320327555","display_name":"National Defence University of Malaysia","ror":"https://ror.org/00t53pv34"},{"id":"https://openalex.org/F4320329006","display_name":"Kementerian Pendidikan Malaysia","ror":"https://ror.org/05v8z6a72"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":56,"referenced_works":["https://openalex.org/W7939015","https://openalex.org/W127876072","https://openalex.org/W1511107582","https://openalex.org/W1581485226","https://openalex.org/W1587263632","https://openalex.org/W1661871015","https://openalex.org/W1840286873","https://openalex.org/W1966520983","https://openalex.org/W1974542028","https://openalex.org/W1977593555","https://openalex.org/W1978394996","https://openalex.org/W1999635750","https://openalex.org/W2005624335","https://openalex.org/W2012070465","https://openalex.org/W2017337590","https://openalex.org/W2020634673","https://openalex.org/W2042137729","https://openalex.org/W2050399271","https://openalex.org/W2068431618","https://openalex.org/W2068833644","https://openalex.org/W2075779886","https://openalex.org/W2076046792","https://openalex.org/W2077620588","https://openalex.org/W2080168170","https://openalex.org/W2081375810","https://openalex.org/W2095745389","https://openalex.org/W2098572241","https://openalex.org/W2102831150","https://openalex.org/W2107941094","https://openalex.org/W2111620038","https://openalex.org/W2113189361","https://openalex.org/W2114524997","https://openalex.org/W2117613928","https://openalex.org/W2118573797","https://openalex.org/W2119387367","https://openalex.org/W2126051185","https://openalex.org/W2132287116","https://openalex.org/W2136222411","https://openalex.org/W2158868693","https://openalex.org/W2159977917","https://openalex.org/W2160660844","https://openalex.org/W2168572794","https://openalex.org/W2182577663","https://openalex.org/W2251339995","https://openalex.org/W2319935365","https://openalex.org/W2341338744","https://openalex.org/W2561926545","https://openalex.org/W2951278869","https://openalex.org/W2998216295","https://openalex.org/W4285719527","https://openalex.org/W6600322171","https://openalex.org/W6601731210","https://openalex.org/W6638664028","https://openalex.org/W6678566509","https://openalex.org/W6686376033","https://openalex.org/W7066667914"],"related_works":["https://openalex.org/W3089396779","https://openalex.org/W2548633793","https://openalex.org/W3013279174","https://openalex.org/W2941935829","https://openalex.org/W2596247554","https://openalex.org/W4301373556","https://openalex.org/W2182624400","https://openalex.org/W3132372214","https://openalex.org/W4224284088","https://openalex.org/W2125776999"],"abstract_inverted_index":{"In":[0],"sentiment":[1,21,105,133,146,227],"analysis,":[2],"the":[3,7,18,29,60,67,86,98,101,104,113,120,154,165,184,187,204,208,216,224],"high":[4],"dimensionality":[5],"of":[6,20,32,81,88,112,164,179,203,219,226],"feature":[8,44,61,102,114],"vector":[9],"is":[10],"a":[11,41,49,72,78],"key":[12],"problem":[13],"because":[14],"it":[15,25],"can":[16,222],"decrease":[17],"accuracy":[19,155,225],"classification":[22],"and":[23,76,103,131,145,150,160,175,193,221],"make":[24],"difficult":[26],"to":[27,58,74,96,129,152,214],"obtain":[28,215],"optimum":[30,82,89,217],"subset":[31,80,87,218],"features.":[33,83],"To":[34,84],"solve":[35],"this":[36,38],"problem,":[37],"study":[39],"proposes":[40],"new":[42],"text":[43],"selection":[45,62],"method":[46],"that":[47,178,207],"uses":[48,66],"wrapper":[50],"approach,":[51],"integrated":[52],"with":[53,177,190,196],"ant":[54],"colony":[55],"optimization":[56],"(ACO)":[57],"guide":[59],"process.":[63],"It":[64],"also":[65],"k-nearest":[68],"neighbour":[69],"(KNN)":[70],"as":[71,126],"classifier":[73],"evaluate":[75],"generate":[77],"candidate":[79],"test":[85],"features,":[90],"algorithm":[91,168,189,211],"dependency":[92],"relations":[93],"were":[94],"used":[95,125],"find":[97],"relationship":[99,142],"between":[100,143],"word":[106],"in":[107,137],"customer":[108,138,170],"reviews.":[109,139],"The":[110,140,162,201],"output":[111],"subset,":[115],"which":[116],"was":[117,124,148,173,212],"derived":[118],"using":[119],"proposed":[121,166,209],"ACO-KNN":[122,167,210],"algorithm,":[123],"an":[127],"input":[128],"identify":[130],"extract":[132],"words":[134,147],"from":[135,183],"sentences":[136],"resulting":[141],"features":[144,220],"tested":[149],"evaluated":[151,174],"determine":[153],"based":[156],"on":[157,169],"precision,":[158],"recall,":[159],"F-score.":[161],"performance":[163],"review":[171],"datasets":[172],"compared":[176],"two":[180],"hybrid":[181],"algorithms":[182],"literature,":[185],"namely,":[186],"genetic":[188],"information":[191,194],"gain":[192,195],"rough":[197],"set":[198],"attribute":[199],"reduction.":[200],"results":[202],"experiments":[205],"showed":[206],"able":[213],"improve":[223],"classification.":[228]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":14},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":2}],"updated_date":"2026-07-30T17:31:21.811387","created_date":"2025-10-10T00:00:00"}