{"id":"https://openalex.org/W2936284366","doi":null,"title":"A review of feature selection on text classification","display_name":"A review of feature selection on text classification","publication_year":2018,"publication_date":"2018-08-01","ids":{"openalex":"https://openalex.org/W2936284366","mag":"2936284366"},"language":"en","primary_location":{"id":"mag:2936284366","doi":null,"is_oa":false,"landing_page_url":"http://umpir.ump.edu.my/id/eprint/23030/","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null},"volume":null,"type":"review","is_traditional":true,"indexed_in":[],"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/A5149044756","display_name":"Mohd Nafis Nur Syafiqah","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mohd Nafis Nur Syafiqah","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5110199216","display_name":"Awang Suryanti","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Awang Suryanti","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.9994999766349792,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9994999766349792,"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":9.999999747378752e-05,"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/T10057","display_name":"Face and Expression Recognition","score":9.999999747378752e-05,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.9959999918937683},{"id":"https://openalex.org/keywords/text-classification","display_name":"text classification","score":1.0},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"dimensionality reduction","score":0.9779999852180481},{"id":"https://openalex.org/keywords/filter-methods","display_name":"filter methods","score":0.9419999718666077},{"id":"https://openalex.org/keywords/wrapper-methods","display_name":"wrapper methods","score":0.9990000128746033},{"id":"https://openalex.org/keywords/embedded-methods","display_name":"embedded methods","score":0.8740000128746033},{"id":"https://openalex.org/keywords/high-dimensional-text-data","display_name":"high-dimensional text data","score":0.8339999914169312},{"id":"https://openalex.org/keywords/overfitting","display_name":"overfitting","score":0.8880000114440918},{"id":"https://openalex.org/keywords/local-optima","display_name":"local optima","score":0.9110000133514404}],"concepts":[{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.8170004487037659},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.7400921583175659},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6792328953742981},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.6591798067092896},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6361517906188965},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.6016682982444763},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5826016664505005},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5470491647720337},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5383435487747192},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.49837398529052734},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.46814945340156555},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4459352493286133},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14914464950561523},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"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":1,"locations":[{"id":"mag:2936284366","doi":null,"is_oa":false,"landing_page_url":"http://umpir.ump.edu.my/id/eprint/23030/","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2116707486","https://openalex.org/W2134090438","https://openalex.org/W4376149201","https://openalex.org/W1996225293","https://openalex.org/W4245025199","https://openalex.org/W2137585273","https://openalex.org/W7097675997","https://openalex.org/W7096526118","https://openalex.org/W3029530502","https://openalex.org/W2184619939"],"abstract_inverted_index":{"Textual":[0],"data":[1],"is":[2,34,38,101,108],"a":[3,155],"high-dimensional":[4,7],"data.":[5],"In":[6],"data,":[8],"the":[9,14,22,94,131],"number":[10,15],"of":[11,16,24,41,125],"features":[12],"xceeds":[13],"samples.":[17],"Hence,":[18],"it":[19,46,107,138,147],"equally":[20],"increased":[21],"amount":[23,124],"noise,":[25],"and":[26,66,71,112,120,162],"irrelevant":[27],"features.":[28],"At":[29],"this":[30,56,78],"point,":[31],"dimensionality":[32,42],"reduction":[33,43],"necessary.":[35],"Feature":[36],"selection":[37,62,87,152],"an":[39,49,123],"example":[40],"techniques.":[44],"Moreover,":[45],"had":[47],"been":[48],"indispensable":[50],"component":[51],"in":[52,55,128],"classification.":[53,91],"Thus,":[54],"paper,":[57],"we":[58,96],"presented":[59],"three":[60],"feature":[61,86,151],"approaches;":[63],"filter,":[64],"wrapper":[65,99],"embedded.":[67],"Their":[68],"aims,":[69],"advantages":[70],"disadvantages":[72],"are":[73],"also":[74],"briefly":[75],"explained.":[76],"Besides,":[77],"study":[79],"reviews":[80],"several":[81],"significant":[82],"studies":[83],"for":[84,89,115],"each":[85],"approach":[88,100],"text":[90,116],"Based":[92],"on":[93],"studies,":[95],"found":[97],"that":[98,149],"less":[102],"used":[103],"by":[104],"researchers":[105],"since":[106],"prone":[109],"to":[110],"over-fit":[111],"exposed":[113],"local-optima":[114],"classification":[117,132,157,160],"while":[118],"filter":[119,129],"embedded":[121,150],"achieved":[122],"research.":[126],"However,":[127],"approach,":[130],"accuracies":[133],"cannot":[134],"be":[135],"guaranteed":[136],"because":[137],"does":[139],"not":[140],"incorporate":[141],"with":[142],"any":[143],"learning":[144],"algorithm.":[145],"Therefore,":[146],"concludes":[148],"can":[153],"offer":[154],"promising":[156],"performance":[158],"regarding":[159],"accuracy":[161],"computational":[163],"time.":[164]},"counts_by_year":[],"updated_date":"2026-09-25T08:18:29.962427","created_date":"2019-04-25T00:00:00"}
