{"id":"https://openalex.org/W2894650192","doi":"https://doi.org/10.1155/2018/8909357","title":"Performance Assessment of Multiple Classifiers Based on Ensemble Feature Selection Scheme for Sentiment Analysis","display_name":"Performance Assessment of Multiple Classifiers Based on Ensemble Feature Selection Scheme for Sentiment Analysis","publication_year":2018,"publication_date":"2018-10-01","ids":{"openalex":"https://openalex.org/W2894650192","doi":"https://doi.org/10.1155/2018/8909357","mag":"2894650192"},"language":"en","primary_location":{"id":"doi:10.1155/2018/8909357","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2018/8909357","pdf_url":"http://downloads.hindawi.com/journals/acisc/2018/8909357.pdf","source":{"id":"https://openalex.org/S30680879","display_name":"Applied Computational Intelligence and Soft Computing","issn_l":"1687-9724","issn":["1687-9724","1687-9732"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Computational Intelligence and Soft Computing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"http://downloads.hindawi.com/journals/acisc/2018/8909357.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5112003786","display_name":"Monalisa Ghosh","orcid":null},"institutions":[{"id":"https://openalex.org/I155837530","display_name":"National Institute of Technology Durgapur","ror":"https://ror.org/04ds0jm32","country_code":"IN","type":"education","lineage":["https://openalex.org/I155837530"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Monalisa Ghosh","raw_affiliation_strings":["Department of Computer Science and Engineering National Institute of Technology, Durgapur, West Bengal, India"],"raw_orcid":"https://orcid.org/0000-0001-5827-8222","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering National Institute of Technology, Durgapur, West Bengal, India","institution_ids":["https://openalex.org/I155837530"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017675831","display_name":"Goutam Sanyal","orcid":null},"institutions":[{"id":"https://openalex.org/I155837530","display_name":"National Institute of Technology Durgapur","ror":"https://ror.org/04ds0jm32","country_code":"IN","type":"education","lineage":["https://openalex.org/I155837530"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Goutam Sanyal","raw_affiliation_strings":["Department of Computer Science and Engineering National Institute of Technology, Durgapur, West Bengal, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering National Institute of Technology, Durgapur, West Bengal, India","institution_ids":["https://openalex.org/I155837530"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5112003786"],"corresponding_institution_ids":["https://openalex.org/I155837530"],"apc_list":{"value":900,"currency":"USD","value_usd":900},"apc_paid":{"value":900,"currency":"USD","value_usd":900},"fwci":4.5217,"has_fulltext":true,"cited_by_count":23,"citation_normalized_percentile":{"value":0.95373877,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"2018","issue":null,"first_page":"1","last_page":"12"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14025","display_name":"Educational Technology and Assessment","score":0.998199999332428,"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"}},"topics":[{"id":"https://openalex.org/T14025","display_name":"Educational Technology and Assessment","score":0.998199999332428,"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"}},{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.9919000267982483,"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":0.991599977016449,"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/bigram","display_name":"Bigram","score":0.813141942024231},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7750685214996338},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7423272132873535},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.7004556059837341},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6259489059448242},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6196425557136536},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5743679404258728},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.46334701776504517},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.44441312551498413},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.42592281103134155},{"id":"https://openalex.org/keywords/trigram","display_name":"Trigram","score":0.09772986173629761}],"concepts":[{"id":"https://openalex.org/C108757681","wikidata":"https://www.wikidata.org/wiki/Q2773912","display_name":"Bigram","level":3,"score":0.813141942024231},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7750685214996338},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7423272132873535},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.7004556059837341},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6259489059448242},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6196425557136536},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5743679404258728},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.46334701776504517},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.44441312551498413},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.42592281103134155},{"id":"https://openalex.org/C137546455","wikidata":"https://www.wikidata.org/wiki/Q3213474","display_name":"Trigram","level":2,"score":0.09772986173629761},{"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:10.1155/2018/8909357","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2018/8909357","pdf_url":"http://downloads.hindawi.com/journals/acisc/2018/8909357.pdf","source":{"id":"https://openalex.org/S30680879","display_name":"Applied Computational Intelligence and Soft Computing","issn_l":"1687-9724","issn":["1687-9724","1687-9732"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Computational Intelligence and Soft Computing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:bd58a9fb8e9d452ab420417451d3af8a","is_oa":true,"landing_page_url":"https://doaj.org/article/bd58a9fb8e9d452ab420417451d3af8a","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":"Applied Computational Intelligence and Soft Computing, Vol 2018 (2018)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1155/2018/8909357","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2018/8909357","pdf_url":"http://downloads.hindawi.com/journals/acisc/2018/8909357.pdf","source":{"id":"https://openalex.org/S30680879","display_name":"Applied Computational Intelligence and Soft Computing","issn_l":"1687-9724","issn":["1687-9724","1687-9732"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Computational Intelligence and Soft Computing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2894650192.pdf","grobid_xml":"https://content.openalex.org/works/W2894650192.grobid-xml"},"referenced_works_count":14,"referenced_works":["https://openalex.org/W1565201084","https://openalex.org/W1745606727","https://openalex.org/W1999635750","https://openalex.org/W2010296199","https://openalex.org/W2025899713","https://openalex.org/W2055853541","https://openalex.org/W2077563243","https://openalex.org/W2089597365","https://openalex.org/W2106095291","https://openalex.org/W2168505588","https://openalex.org/W2169157794","https://openalex.org/W2306706380","https://openalex.org/W2410415416","https://openalex.org/W3099880460"],"related_works":["https://openalex.org/W3020951519","https://openalex.org/W3173084154","https://openalex.org/W2334448532","https://openalex.org/W2982021180","https://openalex.org/W2131563376","https://openalex.org/W2065474030","https://openalex.org/W2251497876","https://openalex.org/W2241081188","https://openalex.org/W2128567707","https://openalex.org/W4327499987"],"abstract_inverted_index":{"Sentiment":[0],"classification":[1,82],"or":[2,58,216],"sentiment":[3,51],"analysis":[4],"has":[5],"been":[6],"acknowledged":[7],"as":[8,41,229,252,254],"an":[9,16,154],"open":[10],"research":[11,18],"domain.":[12],"In":[13,123],"recent":[14],"years,":[15],"enormous":[17],"work":[19],"is":[20,136,223,250],"being":[21],"performed":[22],"in":[23,273],"these":[24],"fields":[25],"by":[26,119,158,225],"applying":[27,120],"various":[28],"numbers":[29],"of":[30,50,60,97,164,220,268,275],"methodologies.":[31],"Feature":[32],"generation":[33],"and":[34,69,74,87,105,107,114,149,186,202,232],"selection":[35,65,141],"are":[36,92,117],"consequent":[37],"for":[38,192,208],"text":[39],"mining":[40],"the":[42,48,56,61,95,139,165,173,195,210,221,238,257,266],"high-dimensional":[43],"feature":[44,64,76,140,156,182,206,240],"set":[45,77],"can":[46,188],"affect":[47],"performance":[49,219,245],"analysis.":[52],"This":[53],"paper":[54],"investigates":[55],"inability":[57],"incompetency":[59],"widely":[62],"used":[63,204],"methods":[66,91,142,168,227],"(IG,":[67],"Chi-square,":[68],"Gini":[70,146],"Index)":[71],"with":[72,271],"unigram":[73,113,247],"bigram":[75,115],"on":[78,94,176],"four":[79],"machine":[80,196],"learning":[81,197],"algorithms":[83],"(MNB,":[84],"SVM,":[85,199],"KNN,":[86,201],"ME).":[88],"The":[89,218,260],"proposed":[90],"evaluated":[93],"basis":[96],"three":[98],"standard":[99],"datasets,":[100],"namely,":[101],"IMDb":[102],"movie":[103],"review":[104,110,211],"electronics":[106],"kitchen":[108],"product":[109],"dataset.":[111],"Initially,":[112],"features":[116,129,174],"extracted":[118],"n-gram":[121],"method.":[122],"addition,":[124],"we":[125],"generate":[126],"a":[127,160,170,180,243],"composite":[128,239],"vector":[130,183,207,241],"CompUniBi":[131],"(unigram":[132],"+":[133],"bigram),":[134],"which":[135,249],"sent":[137],"to":[138,152,162,172,256],"Information":[143,269],"Gain":[144,270],"(IG),":[145],"Index":[147],"(GI),":[148],"Chi-square":[150],"(CHI)":[151],"get":[153],"optimal":[155],"subset":[157],"assigning":[159],"score":[161],"each":[163],"features.":[166],"These":[167],"offer":[169],"ranking":[171],"depending":[175],"their":[177],"score;":[178],"thus":[179],"prominent":[181,205],"(CompIG,":[184],"CompGI,":[185],"CompCHI)":[187],"be":[189],"generated":[190],"easily":[191],"classification.":[193],"Finally,":[194],"classifiers":[198],"MNB,":[200],"ME":[203],"classifying":[209],"document":[212],"into":[213],"either":[214],"positive":[215],"negative.":[217],"algorithm":[222],"measured":[224],"evaluation":[226],"such":[228],"precision,":[230],"recall,":[231],"F-measure.":[233],"Experimental":[234],"results":[235,262],"show":[236],"that":[237],"achieved":[242],"better":[244],"than":[246],"feature,":[248],"encouraging":[251],"well":[253],"comparable":[255],"related":[258],"research.":[259],"best":[261],"were":[263],"obtained":[264],"from":[265],"combination":[267],"SVM":[272],"terms":[274],"highest":[276],"accuracy.":[277]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":1}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}