{"id":"https://openalex.org/W3093758676","doi":"https://doi.org/10.1109/access.2020.3030642","title":"GAWA\u2013A Feature Selection Method for Hybrid Sentiment Classification","display_name":"GAWA\u2013A Feature Selection Method for Hybrid Sentiment Classification","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3093758676","doi":"https://doi.org/10.1109/access.2020.3030642","mag":"3093758676"},"language":"en","primary_location":{"id":"doi:10.1109/access.2020.3030642","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3030642","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09222172.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/ielx7/6287639/8948470/09222172.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5004310412","display_name":"Abdur Rasool","orcid":"https://orcid.org/0000-0001-5334-9001"},"institutions":[{"id":"https://openalex.org/I181326427","display_name":"Donghua University","ror":"https://ror.org/035psfh38","country_code":"CN","type":"education","lineage":["https://openalex.org/I181326427"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210145761","display_name":"Shenzhen Institutes of Advanced Technology","ror":"https://ror.org/04gh4er46","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210145761"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Abdur Rasool","raw_affiliation_strings":["School of Computer Science and Technology, Donghua University, Shanghai, China","Shenzhen Key Laboratory for High Performance Data Mining, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0001-5334-9001","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Donghua University, Shanghai, China","institution_ids":["https://openalex.org/I181326427"]},{"raw_affiliation_string":"Shenzhen Key Laboratory for High Performance Data Mining, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210145761"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081024936","display_name":"Ran Tao","orcid":"https://orcid.org/0000-0002-7343-6388"},"institutions":[{"id":"https://openalex.org/I181326427","display_name":"Donghua University","ror":"https://ror.org/035psfh38","country_code":"CN","type":"education","lineage":["https://openalex.org/I181326427"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ran Tao","raw_affiliation_strings":["School of Computer Science and Technology, Donghua University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-7343-6388","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Donghua University, Shanghai, China","institution_ids":["https://openalex.org/I181326427"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043014513","display_name":"Marjan Kamyab","orcid":"https://orcid.org/0000-0001-8152-9392"},"institutions":[{"id":"https://openalex.org/I181326427","display_name":"Donghua University","ror":"https://ror.org/035psfh38","country_code":"CN","type":"education","lineage":["https://openalex.org/I181326427"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Marjan Kamyab","raw_affiliation_strings":["School of Computer Science and Technology, Donghua University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0001-8152-9392","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Donghua University, Shanghai, China","institution_ids":["https://openalex.org/I181326427"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049908842","display_name":"Shoaib Hayat","orcid":"https://orcid.org/0000-0002-2847-3147"},"institutions":[{"id":"https://openalex.org/I181326427","display_name":"Donghua University","ror":"https://ror.org/035psfh38","country_code":"CN","type":"education","lineage":["https://openalex.org/I181326427"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shoaib Hayat","raw_affiliation_strings":["School of Computer Science and Technology, Donghua University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-2847-3147","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Donghua University, Shanghai, China","institution_ids":["https://openalex.org/I181326427"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"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":4.1554,"has_fulltext":true,"cited_by_count":48,"citation_normalized_percentile":{"value":0.95050879,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"8","issue":null,"first_page":"191850","last_page":"191861"},"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9965999722480774,"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":0.9937999844551086,"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/feature-selection","display_name":"Feature selection","score":0.7503300309181213},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7445940971374512},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6056685447692871},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5826220512390137},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5245495438575745},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5032467246055603},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.42888009548187256},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.37734752893447876},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3741339445114136}],"concepts":[{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.7503300309181213},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7445940971374512},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6056685447692871},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5826220512390137},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5245495438575745},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5032467246055603},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.42888009548187256},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.37734752893447876},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3741339445114136},{"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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2020.3030642","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3030642","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09222172.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:3cd6630fa7cf44a38e22c64be2a010ef","is_oa":true,"landing_page_url":"https://doaj.org/article/3cd6630fa7cf44a38e22c64be2a010ef","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 8, Pp 191850-191861 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2020.3030642","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3030642","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09222172.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":[{"score":0.7699999809265137,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[{"id":"https://openalex.org/G811151188","display_name":null,"funder_award_id":"19D111201","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"}],"funders":[{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3093758676.pdf","grobid_xml":"https://content.openalex.org/works/W3093758676.grobid-xml"},"referenced_works_count":56,"referenced_works":["https://openalex.org/W183870570","https://openalex.org/W1489522854","https://openalex.org/W2015367091","https://openalex.org/W2019759670","https://openalex.org/W2097726431","https://openalex.org/W2106296294","https://openalex.org/W2133341045","https://openalex.org/W2143455647","https://openalex.org/W2149167588","https://openalex.org/W2157690157","https://openalex.org/W2165395862","https://openalex.org/W2165515835","https://openalex.org/W2194578903","https://openalex.org/W2462290672","https://openalex.org/W2462697095","https://openalex.org/W2594420828","https://openalex.org/W2606962553","https://openalex.org/W2765753216","https://openalex.org/W2773971852","https://openalex.org/W2775287434","https://openalex.org/W2793625747","https://openalex.org/W2795589160","https://openalex.org/W2883440102","https://openalex.org/W2889105049","https://openalex.org/W2890899516","https://openalex.org/W2892421788","https://openalex.org/W2899372063","https://openalex.org/W2900946789","https://openalex.org/W2904953199","https://openalex.org/W2912958799","https://openalex.org/W2913898221","https://openalex.org/W2916675586","https://openalex.org/W2920692012","https://openalex.org/W2923691834","https://openalex.org/W2933112115","https://openalex.org/W2941983847","https://openalex.org/W2944636446","https://openalex.org/W2951508240","https://openalex.org/W2965552599","https://openalex.org/W2966305161","https://openalex.org/W2995954664","https://openalex.org/W2995987488","https://openalex.org/W2996372523","https://openalex.org/W2997786303","https://openalex.org/W3006467403","https://openalex.org/W3007841757","https://openalex.org/W3028308428","https://openalex.org/W3033046285","https://openalex.org/W3037411234","https://openalex.org/W3039848812","https://openalex.org/W3047572591","https://openalex.org/W3204006651","https://openalex.org/W4205184193","https://openalex.org/W4245698042","https://openalex.org/W6683523906","https://openalex.org/W6746794038"],"related_works":["https://openalex.org/W4205762803","https://openalex.org/W2535856026","https://openalex.org/W2265065644","https://openalex.org/W3147584709","https://openalex.org/W2134699697","https://openalex.org/W3017188156","https://openalex.org/W2322875716","https://openalex.org/W2961085424","https://openalex.org/W4386564352","https://openalex.org/W2952668426"],"abstract_inverted_index":{"Sentiment":[0],"analysis":[1,50],"or":[2],"opinion":[3],"mining":[4],"is":[5,57,76,100,152,243],"the":[6,13,19,48,66,79,91,97,103,108,111,125,131,135,141,144,153,162,167,185,199,216,222,231,234,246,254,266,271,277,281],"key":[7],"to":[8,31,46,65,94,101,129,139,160,175,239],"natural":[9],"language":[10],"processing":[11],"for":[12,120,169,198],"extraction":[14],"of":[15,22,51,68,83,90,110,143,149,157,180,201,233,249],"useful":[16],"information":[17],"from":[18,60,86],"text":[20],"documents":[21],"numerous":[23],"sources.":[24],"Several":[25],"different":[26,44],"techniques,":[27],"i.e.,":[28],"simple":[29],"rule-based":[30],"lexicon-based":[32,54],"and":[33,106,134,252,260,274],"more":[34],"sophisticated":[35],"machine":[36,73],"learning":[37],"algorithms,":[38],"have":[39],"been":[40],"widely":[41],"used":[42],"with":[43,96,203,245,270],"classifiers":[45],"get":[47],"factual":[49],"sentiment.":[52],"However,":[53],"sentiment":[55,75,182],"classification":[56],"still":[58],"suffering":[59],"low":[61],"accuracies,":[62],"mainly":[63],"due":[64],"deficiency":[67],"domain-oriented":[69],"competitive":[70],"dictionaries.":[71],"Similarly,":[72],"learning-based":[74],"also":[77],"tackling":[78],"accuracy":[80,98,206,223,257],"constraints":[81],"because":[82],"feature":[84,121,228,250],"ambiguity":[85],"social":[87],"data.":[88],"One":[89],"best":[92,104],"ways":[93],"deal":[95],"issue":[99],"select":[102,130],"feature-set":[105,202,217],"reduce":[107,140,215],"volume":[109],"feature.":[112],"This":[113,172,241],"paper":[114],"proposes":[115],"a":[116,177,195,204],"method":[117,248,279],"(namely,":[118],"GAWA)":[119],"selection":[122,200,251],"by":[123,165,183],"utilizing":[124],"Wrapper":[126],"Approaches":[127],"(WA)":[128],"premier":[132,145],"features":[133,164],"Genetic":[136],"Algorithm":[137],"(GA)":[138],"size":[142],"features.":[146],"The":[147,208,225],"novelty":[148],"this":[150],"work":[151,173,242,273],"modified":[154],"fitness":[155],"function":[156],"heuristic":[158],"GA":[159],"compute":[161],"optimal":[163,227],"reducing":[166],"redundancy":[168],"better":[170,205,256,262],"accuracy.":[171],"aims":[174],"present":[176],"comprehensive":[178],"model":[179],"hybrid":[181],"using":[184],"proposed":[186,278],"method,":[187],"GAWA.":[188],"It":[189],"will":[190],"be":[191],"valued":[192],"in":[193],"developing":[194],"new":[196,226],"approach":[197],"level.":[207,224],"experiments":[209],"revealed":[210],"that":[211,276],"these":[212],"techniques":[213],"could":[214],"up-to":[218],"61.95%":[219],"without":[220],"negotiating":[221],"sets":[229],"enhanced":[230],"efficiency":[232],"Na\u00efve":[235],"Bayes":[236],"algorithm":[237],"up":[238],"92%.":[240],"compared":[244,269],"conventional":[247],"concluded":[253],"11%":[255],"than":[258,263],"PCA":[259],"8%":[261],"PSO.":[264],"Furthermore,":[265],"results":[267],"are":[268],"literature":[272],"found":[275],"outperformed":[280],"previous":[282],"research.":[283]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":12},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":2}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}