{"id":"https://openalex.org/W2916820140","doi":"https://doi.org/10.3233/ida-173763","title":"A review of feature selection techniques in sentiment analysis","display_name":"A review of feature selection techniques in sentiment analysis","publication_year":2019,"publication_date":"2019-02-20","ids":{"openalex":"https://openalex.org/W2916820140","doi":"https://doi.org/10.3233/ida-173763","mag":"2916820140"},"language":"en","primary_location":{"id":"doi:10.3233/ida-173763","is_oa":false,"landing_page_url":"https://doi.org/10.3233/ida-173763","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, Malaysia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Faculty of Defence Science and Technology, Universiti Pertahanan Nasional Malaysia, Kuala Lumpur, 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, Selangor, Malaysia"],"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, Selangor, Malaysia","institution_ids":["https://openalex.org/I885383172"]}]},{"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, Selangor, Malaysia"],"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, Selangor, Malaysia","institution_ids":["https://openalex.org/I885383172"]}]}],"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":3.4859,"has_fulltext":false,"cited_by_count":54,"citation_normalized_percentile":{"value":0.93736114,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"23","issue":"1","first_page":"159","last_page":"189"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9901000261306763,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9858999848365784,"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/identification","display_name":"Identification (biology)","score":0.7203394174575806},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7094824314117432},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.686504065990448},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.624028205871582},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5861534476280212},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5336317420005798},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5220218300819397},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5087102055549622},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.49631768465042114},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.4884704649448395},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4702284038066864},{"id":"https://openalex.org/keywords/metaheuristic","display_name":"Metaheuristic","score":0.46737733483314514},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4396648705005646},{"id":"https://openalex.org/keywords/meaning","display_name":"Meaning (existential)","score":0.4107472896575928},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.33368197083473206},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.1270732879638672},{"id":"https://openalex.org/keywords/epistemology","display_name":"Epistemology","score":0.07729905843734741},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.07053127884864807},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.05880242586135864}],"concepts":[{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.7203394174575806},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7094824314117432},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.686504065990448},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.624028205871582},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5861534476280212},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5336317420005798},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5220218300819397},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5087102055549622},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.49631768465042114},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.4884704649448395},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4702284038066864},{"id":"https://openalex.org/C109718341","wikidata":"https://www.wikidata.org/wiki/Q1385229","display_name":"Metaheuristic","level":2,"score":0.46737733483314514},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4396648705005646},{"id":"https://openalex.org/C2780876879","wikidata":"https://www.wikidata.org/wiki/Q3054749","display_name":"Meaning (existential)","level":2,"score":0.4107472896575928},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33368197083473206},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.1270732879638672},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.07729905843734741},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.07053127884864807},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.05880242586135864},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","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},{"id":"https://openalex.org/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","level":1,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/ida-173763","is_oa":false,"landing_page_url":"https://doi.org/10.3233/ida-173763","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":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.4000000059604645}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":108,"referenced_works":["https://openalex.org/W7939015","https://openalex.org/W43192923","https://openalex.org/W140467209","https://openalex.org/W148415288","https://openalex.org/W820643866","https://openalex.org/W1475548032","https://openalex.org/W1581485226","https://openalex.org/W1619226191","https://openalex.org/W1661871015","https://openalex.org/W1751145722","https://openalex.org/W1759852148","https://openalex.org/W1908808128","https://openalex.org/W1915630765","https://openalex.org/W1940568219","https://openalex.org/W1964613733","https://openalex.org/W1966520983","https://openalex.org/W1977561632","https://openalex.org/W1977593555","https://openalex.org/W1981689130","https://openalex.org/W1981900906","https://openalex.org/W1998257453","https://openalex.org/W1999912290","https://openalex.org/W2004617458","https://openalex.org/W2005624335","https://openalex.org/W2009118069","https://openalex.org/W2017337590","https://openalex.org/W2019759670","https://openalex.org/W2022756507","https://openalex.org/W2039568841","https://openalex.org/W2040884411","https://openalex.org/W2042137729","https://openalex.org/W2047756776","https://openalex.org/W2050399271","https://openalex.org/W2060701185","https://openalex.org/W2068431618","https://openalex.org/W2068833644","https://openalex.org/W2070756367","https://openalex.org/W2077620588","https://openalex.org/W2081375810","https://openalex.org/W2089065004","https://openalex.org/W2094061585","https://openalex.org/W2094695485","https://openalex.org/W2095745389","https://openalex.org/W2097089247","https://openalex.org/W2102831150","https://openalex.org/W2104731083","https://openalex.org/W2108793665","https://openalex.org/W2109782117","https://openalex.org/W2111620038","https://openalex.org/W2113189361","https://openalex.org/W2115023510","https://openalex.org/W2117261786","https://openalex.org/W2117425229","https://openalex.org/W2118027802","https://openalex.org/W2119387367","https://openalex.org/W2120626200","https://openalex.org/W2125858751","https://openalex.org/W2126051185","https://openalex.org/W2126854223","https://openalex.org/W2128771953","https://openalex.org/W2129546973","https://openalex.org/W2132062793","https://openalex.org/W2132549764","https://openalex.org/W2133341045","https://openalex.org/W2133462743","https://openalex.org/W2134854314","https://openalex.org/W2135756832","https://openalex.org/W2137250199","https://openalex.org/W2137704276","https://openalex.org/W2143455647","https://openalex.org/W2148633389","https://openalex.org/W2154058875","https://openalex.org/W2155686436","https://openalex.org/W2156571267","https://openalex.org/W2158868693","https://openalex.org/W2159359879","https://openalex.org/W2160307100","https://openalex.org/W2160660844","https://openalex.org/W2162364423","https://openalex.org/W2166706824","https://openalex.org/W2168572794","https://openalex.org/W2169494088","https://openalex.org/W2169554995","https://openalex.org/W2181912024","https://openalex.org/W2199439048","https://openalex.org/W2220055025","https://openalex.org/W2251339995","https://openalex.org/W2293190740","https://openalex.org/W2310404790","https://openalex.org/W2317785872","https://openalex.org/W2520314979","https://openalex.org/W2985307677","https://openalex.org/W2998216295","https://openalex.org/W3112441000","https://openalex.org/W4205184193","https://openalex.org/W4249247926","https://openalex.org/W4285719527","https://openalex.org/W6601731210","https://openalex.org/W6602661299","https://openalex.org/W6675990245","https://openalex.org/W6678566509","https://openalex.org/W6682904970","https://openalex.org/W6683321916","https://openalex.org/W6685975370","https://openalex.org/W6696700976","https://openalex.org/W6769827888","https://openalex.org/W6787879955","https://openalex.org/W7066667914"],"related_works":["https://openalex.org/W3089396779","https://openalex.org/W2548633793","https://openalex.org/W2789681586","https://openalex.org/W3013279174","https://openalex.org/W2794361564","https://openalex.org/W2941935829","https://openalex.org/W4243392960","https://openalex.org/W3156820950","https://openalex.org/W4386564352","https://openalex.org/W2952668426"],"abstract_inverted_index":{"The":[0,10,95,127],"rapid":[1],"growth":[2],"in":[3,35,159,178,202,207],"web":[4],"development":[5],"has":[6],"transformed":[7],"today\u2019s":[8],"communication.":[9],"combination":[11],"of":[12,38,55,62,73,91,98,106,111,120,130,137,141,151,162,185,193,205],"features":[13,61,72,124,206],"and":[14,24,67,76,89,109,117,125,148,183,189],"corresponding":[15],"sentiment":[16,26],"words":[17],"(SWs)":[18],"can":[19,85],"help":[20],"produce":[21],"accurate,":[22],"meaningful,":[23],"high-quality":[25],"analysis":[27],"(SA)":[28],"results.":[29,94],"There":[30],"are":[31,133],"some":[32],"basic":[33,83],"matters":[34,84],"the":[36,46,56,58,63,65,68,71,74,77,87,92,107,118,121,149,156,160,171,181,191,194,203],"study":[37],"SA":[39,93,163],"that":[40,50,200],"must":[41],"be":[42],"unders":[43],"tood,":[44],"namely,":[45],"objects":[47],"or":[48,60],"entities":[49],"form":[51],"a":[52,138,175],"key":[53],"part":[54],"discussion,":[57],"characteristics":[59],"object,":[64],"SWs,":[66],"connection":[69],"between":[70,123],"object":[75],"SWs.":[78,126,152],"Failure":[79],"to":[80,102,145],"identify":[81,180],"these":[82],"reduce":[86],"accuracy":[88],"meaning":[90],"main":[96,128],"objective":[97],"this":[99,131],"review":[100,132,166],"is":[101],"offer":[103],"an":[104],"overview":[105],"role":[108],"techniques":[110,147],"feature":[112],"selection":[113,204],"(FS),":[114],"SWs":[115],"detection,":[116],"identification":[119],"relationship":[122],"contributions":[129],"its":[134],"sophisticated":[135],"categorisations":[136],"large":[139],"number":[140],"recent":[142,157],"articles":[143],"related":[144],"FS":[146,176,187],"detection":[150],"It":[153],"also":[154,168],"highlights":[155],"trends":[158],"field":[161],"research.":[164],"This":[165],"will":[167],"look":[169],"at":[170],"metaheuristic":[172,195],"approach":[173,196],"as":[174],"technique":[177],"SA,":[179],"strengths":[182],"weaknesses":[184],"existing":[186],"techniques,":[188],"analyse":[190],"potential":[192],"for":[197],"solving":[198],"problems":[199],"exist":[201],"SA.":[208]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":17},{"year":2022,"cited_by_count":9},{"year":2021,"cited_by_count":7},{"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"}