{"id":"https://openalex.org/W2560070550","doi":"https://doi.org/10.1177/0165551516677911","title":"An ensemble scheme based on language function analysis and feature engineering for text genre classification","display_name":"An ensemble scheme based on language function analysis and feature engineering for text genre classification","publication_year":2016,"publication_date":"2016-12-01","ids":{"openalex":"https://openalex.org/W2560070550","doi":"https://doi.org/10.1177/0165551516677911","mag":"2560070550"},"language":"en","primary_location":{"id":"doi:10.1177/0165551516677911","is_oa":false,"landing_page_url":"https://doi.org/10.1177/0165551516677911","pdf_url":null,"source":{"id":"https://openalex.org/S68913162","display_name":"Journal of Information Science","issn_l":"0165-5515","issn":["0165-5515","1741-6485"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320017","host_organization_name":"SAGE Publishing","host_organization_lineage":["https://openalex.org/P4310320017"],"host_organization_lineage_names":["SAGE Publishing"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Information Science","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/A5001374957","display_name":"Aytu\u011f Onan","orcid":"https://orcid.org/0000-0002-9434-5880"},"institutions":[{"id":"https://openalex.org/I16748637","display_name":"Manisa Celal Bayar University","ror":"https://ror.org/053f2w588","country_code":"TR","type":"education","lineage":["https://openalex.org/I16748637"]}],"countries":["TR"],"is_corresponding":true,"raw_author_name":"Aytu\u011f Onan","raw_affiliation_strings":["Department of Computer Engineering, Celal Bayar University, Turkey"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, Celal Bayar University, Turkey","institution_ids":["https://openalex.org/I16748637"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5001374957"],"corresponding_institution_ids":["https://openalex.org/I16748637"],"apc_list":{"value":3650,"currency":"USD","value_usd":3650},"apc_paid":null,"fwci":6.1031,"has_fulltext":false,"cited_by_count":283,"citation_normalized_percentile":{"value":0.9623958,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":93,"max":100},"biblio":{"volume":"44","issue":"1","first_page":"28","last_page":"47"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12380","display_name":"Authorship Attribution and Profiling","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/T12380","display_name":"Authorship Attribution and Profiling","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/T11644","display_name":"Spam and Phishing Detection","score":0.9973999857902527,"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":0.994700014591217,"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/computer-science","display_name":"Computer science","score":0.771406888961792},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7406818866729736},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.6677602529525757},{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.6527951955795288},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5947703123092651},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.5486050248146057},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.530390202999115},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.48950350284576416},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.47076869010925293},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.4550011456012726},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.4520334303379059},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.42190513014793396},{"id":"https://openalex.org/keywords/document-classification","display_name":"Document classification","score":0.4214748740196228},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.41651245951652527},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.08842459321022034},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08410447835922241}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.771406888961792},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7406818866729736},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.6677602529525757},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.6527951955795288},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5947703123092651},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.5486050248146057},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.530390202999115},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.48950350284576416},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.47076869010925293},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.4550011456012726},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.4520334303379059},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.42190513014793396},{"id":"https://openalex.org/C2780479914","wikidata":"https://www.wikidata.org/wiki/Q302088","display_name":"Document classification","level":2,"score":0.4214748740196228},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.41651245951652527},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.08842459321022034},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08410447835922241},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1177/0165551516677911","is_oa":false,"landing_page_url":"https://doi.org/10.1177/0165551516677911","pdf_url":null,"source":{"id":"https://openalex.org/S68913162","display_name":"Journal of Information Science","issn_l":"0165-5515","issn":["0165-5515","1741-6485"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320017","host_organization_name":"SAGE Publishing","host_organization_lineage":["https://openalex.org/P4310320017"],"host_organization_lineage_names":["SAGE Publishing"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Information Science","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.5899999737739563,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":54,"referenced_works":["https://openalex.org/W40976687","https://openalex.org/W130910835","https://openalex.org/W178169250","https://openalex.org/W188649940","https://openalex.org/W1426199569","https://openalex.org/W1436652029","https://openalex.org/W1534477342","https://openalex.org/W1570448133","https://openalex.org/W1984058506","https://openalex.org/W2015525779","https://openalex.org/W2021137987","https://openalex.org/W2027582570","https://openalex.org/W2045455073","https://openalex.org/W2062151674","https://openalex.org/W2067831340","https://openalex.org/W2071238250","https://openalex.org/W2096352448","https://openalex.org/W2113242816","https://openalex.org/W2115629999","https://openalex.org/W2121041757","https://openalex.org/W2124144781","https://openalex.org/W2133990480","https://openalex.org/W2143455647","https://openalex.org/W2146645312","https://openalex.org/W2151927372","https://openalex.org/W2153804780","https://openalex.org/W2155806188","https://openalex.org/W2156909104","https://openalex.org/W2165431734","https://openalex.org/W2306977716","https://openalex.org/W2317515691","https://openalex.org/W2339974927","https://openalex.org/W2401796048","https://openalex.org/W2408246687","https://openalex.org/W2495196114","https://openalex.org/W2524182563","https://openalex.org/W2612560781","https://openalex.org/W2890112218","https://openalex.org/W2911964244","https://openalex.org/W3120740533","https://openalex.org/W4206235051","https://openalex.org/W4210535201","https://openalex.org/W4212883601","https://openalex.org/W4232478844","https://openalex.org/W4237534430","https://openalex.org/W4242019556","https://openalex.org/W4244238212","https://openalex.org/W4246486395","https://openalex.org/W4248018214","https://openalex.org/W4250089123","https://openalex.org/W4252724388","https://openalex.org/W4298290259","https://openalex.org/W4299527668","https://openalex.org/W4391902753"],"related_works":["https://openalex.org/W2116862786","https://openalex.org/W1487671059","https://openalex.org/W2905156999","https://openalex.org/W4229460275","https://openalex.org/W4296079469","https://openalex.org/W1987518466","https://openalex.org/W3135046080","https://openalex.org/W3023033471","https://openalex.org/W2014852328","https://openalex.org/W2809161969"],"abstract_inverted_index":{"Text":[0,95],"genre":[1,35,96],"classification":[2,97,125,146,232],"is":[3,98,117,148,234,281],"the":[4,21,31,137,188,191,227,261,264,271,278],"process":[5],"of":[6,10,16,33,46,59,76,108,139,167,184,190,241,247,257,263],"identifying":[7],"functional":[8],"characteristics":[9],"text":[11,17,34,60,83,115],"documents.":[12],"The":[13,67,106],"immense":[14],"quantity":[15],"documents":[18,84,116],"available":[19],"on":[20,42,73,226],"web":[22],"can":[23],"be":[24],"properly":[25],"filtered,":[26],"organised":[27],"and":[28,50,65,78,93,187,195,209,222,260],"retrieved":[29],"with":[30,127,214,244],"use":[32,41],"classification,":[36],"which":[37,135,236],"may":[38,54],"have":[39],"potential":[40],"several":[43,57],"other":[44],"tasks":[45],"natural":[47],"language":[48,68],"processing":[49],"information":[51],"retrieval.":[52],"Genre":[53],"refer":[55],"to":[56,81,113,142],"aspects":[58],"documents,":[61],"such":[62,89],"as":[63,90,173,219],"function":[64,69],"purpose.":[66],"analysis":[70,166],"(LFA)":[71],"concentrates":[72],"single":[74],"aspect":[75],"genres":[77],"it":[79],"aims":[80],"classify":[82],"into":[85],"three":[86],"abstract":[87],"classes,":[88],"expressive,":[91],"appellative":[92],"informative.":[94],"typically":[99],"performed":[100],"by":[101,277],"supervised":[102],"machine":[103,154],"learning":[104,155,216],"algorithms.":[105],"extraction":[107],"an":[109,118,163,230],"efficient":[110],"feature":[111,169],"set":[112],"represent":[114],"essential":[119],"task":[120],"for":[121],"building":[122],"a":[123,144,149],"robust":[124,145],"scheme":[126,233,280],"high":[128],"predictive":[129,274],"performance.":[130],"In":[131,157],"addition,":[132],"ensemble":[133,215,231,240],"learning,":[134],"combines":[136],"outputs":[138],"individual":[140],"classifiers":[141],"obtain":[143],"scheme,":[147],"promising":[150],"research":[151],"field":[152],"in":[153,176,212,251],"research.":[156],"this":[158,160],"regard,":[159],"article":[161],"presents":[162],"extensive":[164],"comparative":[165],"different":[168,197],"engineering":[170],"schemes":[171],"(such":[172,218],"features":[174,248],"used":[175,250],"authorship":[177,252],"attribution,":[178,253],"linguistic":[179],"features,":[180],"character":[181,254],"n-grams,":[182,255],"part":[183,256],"speech":[185,258],"n-grams":[186,259],"frequency":[189,262],"most":[192,265],"discriminative":[193,266],"words)":[194],"five":[196],"base":[198],"learners":[199],"(Na\u00efve":[200],"Bayes,":[201],"support":[202],"vector":[203],"machines,":[204],"logistic":[205],"regression,":[206],"k-nearest":[207],"neighbour":[208],"Random":[210,223,238,242],"Forest)":[211],"conjunction":[213],"methods":[217],"Boosting,":[220],"Bagging":[221],"Subspace).":[224],"Based":[225],"empirical":[228],"analysis,":[229],"presented,":[235],"integrates":[237],"Subspace":[239],"Forest":[243],"four":[245],"types":[246],"(features":[249],"words).":[267],"For":[268],"LFA":[269],"corpus,":[270],"highest":[272],"average":[273],"performance":[275],"obtained":[276],"proposed":[279],"94.43%.":[282]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":13},{"year":2024,"cited_by_count":35},{"year":2023,"cited_by_count":75},{"year":2022,"cited_by_count":93},{"year":2021,"cited_by_count":50},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":2}],"updated_date":"2026-08-28T12:50:07.497085","created_date":"2025-10-10T00:00:00"}