{"id":"https://openalex.org/W3141951428","doi":"https://doi.org/10.1109/access.2021.3069001","title":"An Enhanced Hybrid Feature Selection Technique Using Term Frequency-Inverse Document Frequency and Support Vector Machine-Recursive Feature Elimination for Sentiment Classification","display_name":"An Enhanced Hybrid Feature Selection Technique Using Term Frequency-Inverse Document Frequency and Support Vector Machine-Recursive Feature Elimination for Sentiment Classification","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3141951428","doi":"https://doi.org/10.1109/access.2021.3069001","mag":"3141951428"},"language":"en","primary_location":{"id":"doi:10.1109/access.2021.3069001","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3069001","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9312710/09387312.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/9312710/09387312.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5066405927","display_name":"Nur Syafiqah Mohd Nafis","orcid":"https://orcid.org/0000-0001-5833-9371"},"institutions":[{"id":"https://openalex.org/I102913810","display_name":"Universiti Malaysia Pahang Al-Sultan Abdullah","ror":"https://ror.org/01704wp68","country_code":"MY","type":"education","lineage":["https://openalex.org/I102913810"]},{"id":"https://openalex.org/I4210142644","display_name":"Intel (Malaysia)","ror":"https://ror.org/048jw1p35","country_code":"MY","type":"company","lineage":["https://openalex.org/I1343180700","https://openalex.org/I4210142644"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Nur Syafiqah Mohd Nafis","raw_affiliation_strings":["Soft Computing and Intelligent Systems Research Group (SPINT), Faculty of Computing, Universiti Malaysia Pahang, Pekan, Malaysia"],"raw_orcid":"https://orcid.org/0000-0001-5833-9371","affiliations":[{"raw_affiliation_string":"Soft Computing and Intelligent Systems Research Group (SPINT), Faculty of Computing, Universiti Malaysia Pahang, Pekan, Malaysia","institution_ids":["https://openalex.org/I102913810","https://openalex.org/I4210142644"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5027175315","display_name":"Suryanti Awang","orcid":"https://orcid.org/0000-0002-5468-1150"},"institutions":[{"id":"https://openalex.org/I102913810","display_name":"Universiti Malaysia Pahang Al-Sultan Abdullah","ror":"https://ror.org/01704wp68","country_code":"MY","type":"education","lineage":["https://openalex.org/I102913810"]},{"id":"https://openalex.org/I4210142644","display_name":"Intel (Malaysia)","ror":"https://ror.org/048jw1p35","country_code":"MY","type":"company","lineage":["https://openalex.org/I1343180700","https://openalex.org/I4210142644"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Suryanti Awang","raw_affiliation_strings":["Centre for Data Science and Artificial Intelligence (Data Science Centre), Universiti Malaysia Pahang, Kuantan, Malaysia","Soft Computing and Intelligent Systems Research Group (SPINT), Faculty of Computing, Universiti Malaysia Pahang, Pekan, Malaysia"],"raw_orcid":"https://orcid.org/0000-0002-5468-1150","affiliations":[{"raw_affiliation_string":"Centre for Data Science and Artificial Intelligence (Data Science Centre), Universiti Malaysia Pahang, Kuantan, Malaysia","institution_ids":["https://openalex.org/I102913810"]},{"raw_affiliation_string":"Soft Computing and Intelligent Systems Research Group (SPINT), Faculty of Computing, Universiti Malaysia Pahang, Pekan, Malaysia","institution_ids":["https://openalex.org/I102913810","https://openalex.org/I4210142644"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":11.5244,"has_fulltext":true,"cited_by_count":125,"citation_normalized_percentile":{"value":0.98722023,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"9","issue":null,"first_page":"52177","last_page":"52192"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9986000061035156,"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/T11644","display_name":"Spam and Phishing Detection","score":0.9926999807357788,"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/computer-science","display_name":"Computer science","score":0.7937922477722168},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.7738097906112671},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.7468518018722534},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6982060670852661},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5476221442222595},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5290328860282898},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.49828410148620605},{"id":"https://openalex.org/keywords/tf\u2013idf","display_name":"tf\u2013idf","score":0.49780797958374023},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.47022390365600586},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.46320071816444397},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.45491671562194824},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.39376264810562134}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7937922477722168},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7738097906112671},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.7468518018722534},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6982060670852661},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5476221442222595},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5290328860282898},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.49828410148620605},{"id":"https://openalex.org/C81758059","wikidata":"https://www.wikidata.org/wiki/Q796584","display_name":"tf\u2013idf","level":3,"score":0.49780797958374023},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.47022390365600586},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.46320071816444397},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.45491671562194824},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.39376264810562134},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2021.3069001","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3069001","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9312710/09387312.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:0dd7428b01a04a31a705aac238f91801","is_oa":true,"landing_page_url":"https://doaj.org/article/0dd7428b01a04a31a705aac238f91801","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,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 9, Pp 52177-52192 (2021)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2021.3069001","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3069001","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9312710/09387312.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5431066981","display_name":null,"funder_award_id":"FRGS/1/2019/ICT02/UMP/02/1","funder_id":"https://openalex.org/F4320321709","funder_display_name":"Ministry of Higher Education, Malaysia"}],"funders":[{"id":"https://openalex.org/F4320321709","display_name":"Ministry of Higher Education, Malaysia","ror":"https://ror.org/05mcs2t73"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3141951428.pdf","grobid_xml":"https://content.openalex.org/works/W3141951428.grobid-xml"},"referenced_works_count":40,"referenced_works":["https://openalex.org/W1513398909","https://openalex.org/W1759973002","https://openalex.org/W1976511452","https://openalex.org/W1989042107","https://openalex.org/W1999170180","https://openalex.org/W2016367973","https://openalex.org/W2098162425","https://openalex.org/W2134090438","https://openalex.org/W2182577663","https://openalex.org/W2210472625","https://openalex.org/W2337316426","https://openalex.org/W2464619766","https://openalex.org/W2485563451","https://openalex.org/W2505990019","https://openalex.org/W2747818907","https://openalex.org/W2788856212","https://openalex.org/W2792664006","https://openalex.org/W2792916349","https://openalex.org/W2801599720","https://openalex.org/W2808282688","https://openalex.org/W2811422905","https://openalex.org/W2888965188","https://openalex.org/W2902435881","https://openalex.org/W2905753780","https://openalex.org/W2913898221","https://openalex.org/W2944608854","https://openalex.org/W2950516111","https://openalex.org/W2980178392","https://openalex.org/W2996372523","https://openalex.org/W2997339714","https://openalex.org/W2998433004","https://openalex.org/W4236941202","https://openalex.org/W4285719527","https://openalex.org/W4297731784","https://openalex.org/W6638107401","https://openalex.org/W6649877565","https://openalex.org/W6686376033","https://openalex.org/W6752301747","https://openalex.org/W6753095288","https://openalex.org/W6762407637"],"related_works":["https://openalex.org/W2382433580","https://openalex.org/W2100326285","https://openalex.org/W2369751049","https://openalex.org/W2198237484","https://openalex.org/W2381981226","https://openalex.org/W4296339319","https://openalex.org/W2041122820","https://openalex.org/W2548633793","https://openalex.org/W3013279174","https://openalex.org/W2372663604"],"abstract_inverted_index":{"Sentiment":[0,79],"classification":[1,37,52,67,235],"is":[2,95,109,152,164,221],"increasingly":[3],"used":[4],"to":[5,40,63,119,154,180,206,210,215],"automatically":[6],"identify":[7],"a":[8,14,24],"positive":[9],"or":[10],"negative":[11],"sentiment":[12,36,66,132],"in":[13,182,198,223],"text":[15],"review.":[16],"In":[17],"classification,":[18,133],"feature":[19,33,60,91],"selection":[20,34,61,92],"had":[21],"always":[22],"been":[23],"critical":[25],"and":[26,81,86,104,111,127,170],"challenging":[27],"problem.":[28],"Most":[29],"of":[30,43,98,158,212,233],"the":[31,45,51,65,89,96,129,135,139,146,156,159,183,187,202,213,226,231,234],"related":[32,196],"for":[35],"techniques":[38,197],"unable":[39],"overcome":[41],"problems":[42],"evaluating":[44],"significant":[46,222],"features":[47,121,137,141,214],"that":[48],"will":[49,142],"reduce":[50,207],"performance.":[53,236],"This":[54,218],"paper":[55],"proposes":[56],"an":[57],"enhanced":[58],"hybrid":[59],"technique":[62,93,204],"improve":[64],"based":[68],"on":[69,113],"machine":[70],"learning":[71],"approaches.":[72],"First,":[73],"two":[74,115],"customer":[75],"review":[76],"datasets":[77],"namely":[78],"Labelled":[80],"large":[82,188],"IMDB":[83,189],"are":[84],"retrieved":[85],"pre-processed.":[87],"Next,":[88],"proposed":[90,160,203],"which":[94],"hybridization":[97],"Term":[99],"Frequency-Inverse":[100],"Document":[101],"Frequency":[102],"(TF-IDF)":[103],"Supports":[105],"Vector":[106,148],"Machine":[107,149],"(SVM-RFE)":[108],"developed":[110],"tested":[112],"these":[114],"datasets.":[116,200],"TF-IDF":[117],"aims":[118],"measure":[120],"importance.":[122],"The":[123,162,172,191],"SVM-RFE":[124],"iteratively":[125],"evaluates":[126],"ranks":[128],"features.":[130],"For":[131],"only":[134],"ktop":[136],"from":[138,186,208],"ranked":[140],"be":[143,216],"used.":[144],"Finally,":[145],"Support":[147],"(SVM)":[150],"classifier":[151],"deployed":[153],"observe":[155],"performance":[157,163],"technique.":[161],"measured":[165],"using":[166],"accuracy,":[167],"precision,":[168],"recall,":[169],"F-measure.":[171],"experimental":[173],"results":[174,192],"show":[175],"promising":[176],"performances":[177],"with":[178],"84.54%":[179],"89.56%":[181],"measurements":[184],"especially":[185],"dataset.":[190],"also":[193],"outperformed":[194],"other":[195],"certain":[199],"Consequently,":[201],"able":[205],"19.25%":[209],"70.5%":[211],"classified.":[217],"reduction":[219],"rate":[220],"optimally":[224],"utilizing":[225],"computational":[227],"resources":[228],"while":[229],"maintaining":[230],"efficiency":[232]},"counts_by_year":[{"year":2026,"cited_by_count":9},{"year":2025,"cited_by_count":30},{"year":2024,"cited_by_count":20},{"year":2023,"cited_by_count":29},{"year":2022,"cited_by_count":28},{"year":2021,"cited_by_count":9}],"updated_date":"2026-08-06T08:24:18.245995","created_date":"2025-10-10T00:00:00"}
