{"id":"https://openalex.org/W3024813413","doi":"https://doi.org/10.1108/ijwis-08-2019-0035","title":"Comparing tagging suggestion models on discrete corpora","display_name":"Comparing tagging suggestion models on discrete corpora","publication_year":2020,"publication_date":"2020-05-11","ids":{"openalex":"https://openalex.org/W3024813413","doi":"https://doi.org/10.1108/ijwis-08-2019-0035","mag":"3024813413"},"language":"en","primary_location":{"id":"doi:10.1108/ijwis-08-2019-0035","is_oa":false,"landing_page_url":"https://doi.org/10.1108/ijwis-08-2019-0035","pdf_url":null,"source":{"id":"https://openalex.org/S145159096","display_name":"International Journal of Web Information Systems","issn_l":"1744-0084","issn":["1744-0084","1744-0092"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319811","host_organization_name":"Emerald Publishing Limited","host_organization_lineage":["https://openalex.org/P4310319811"],"host_organization_lineage_names":["Emerald Publishing Limited"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Web Information Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arrow.tudublin.ie/ittsciart/88","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5088807073","display_name":"Bojan Bo\u017ei\u0107","orcid":"https://orcid.org/0000-0002-4420-1029"},"institutions":[{"id":"https://openalex.org/I4210144925","display_name":"Technological University Dublin","ror":"https://ror.org/04t0qbt32","country_code":"IE","type":"education","lineage":["https://openalex.org/I4210144925"]}],"countries":["IE"],"is_corresponding":false,"raw_author_name":"Bojan Bozic","raw_affiliation_strings":["Technological University Dublin Department of Computer Science, , Dublin,","Department of Computer Science, Technological University Dublin, Dublin, Ireland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technological University Dublin Department of Computer Science, , Dublin,","institution_ids":["https://openalex.org/I4210144925"]},{"raw_affiliation_string":"Department of Computer Science, Technological University Dublin, Dublin, Ireland","institution_ids":["https://openalex.org/I4210144925"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025136368","display_name":"Andr\u00e9 R\u00edos","orcid":null},"institutions":[{"id":"https://openalex.org/I4210144925","display_name":"Technological University Dublin","ror":"https://ror.org/04t0qbt32","country_code":"IE","type":"education","lineage":["https://openalex.org/I4210144925"]}],"countries":["IE"],"is_corresponding":false,"raw_author_name":"Andre Rios","raw_affiliation_strings":["Technological University Dublin Department of Computer Science, , Dublin,","Department of Computer Science, Technological University Dublin, Dublin, Ireland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technological University Dublin Department of Computer Science, , Dublin,","institution_ids":["https://openalex.org/I4210144925"]},{"raw_affiliation_string":"Department of Computer Science, Technological University Dublin, Dublin, Ireland","institution_ids":["https://openalex.org/I4210144925"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067047073","display_name":"Sarah Jane Delany","orcid":"https://orcid.org/0000-0002-2062-7439"},"institutions":[{"id":"https://openalex.org/I4210144925","display_name":"Technological University Dublin","ror":"https://ror.org/04t0qbt32","country_code":"IE","type":"education","lineage":["https://openalex.org/I4210144925"]}],"countries":["IE"],"is_corresponding":false,"raw_author_name":"Sarah Jane Delany","raw_affiliation_strings":["Technological University Dublin Department of Computer Science, , Dublin,","Department of Computer Science, Technological University Dublin, Dublin, Ireland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technological University Dublin Department of Computer Science, , Dublin,","institution_ids":["https://openalex.org/I4210144925"]},{"raw_affiliation_string":"Department of Computer Science, Technological University Dublin, Dublin, Ireland","institution_ids":["https://openalex.org/I4210144925"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210144925"],"apc_list":null,"apc_paid":null,"fwci":0.1337,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.56716745,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"16","issue":"2","first_page":"201","last_page":"221"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9990000128746033,"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/T12016","display_name":"Web Data Mining and Analysis","score":0.9988999962806702,"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":0.8472745418548584},{"id":"https://openalex.org/keywords/heuristics","display_name":"Heuristics","score":0.6389294266700745},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5348011255264282},{"id":"https://openalex.org/keywords/precision-and-recall","display_name":"Precision and recall","score":0.4960847795009613},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.487519234418869},{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.4848378896713257},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.48178383708000183},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.478293240070343},{"id":"https://openalex.org/keywords/centroid","display_name":"Centroid","score":0.45950859785079956},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45533910393714905},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.4369385242462158},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.39719104766845703},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.15705537796020508},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.14728212356567383}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8472745418548584},{"id":"https://openalex.org/C127705205","wikidata":"https://www.wikidata.org/wiki/Q5748245","display_name":"Heuristics","level":2,"score":0.6389294266700745},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5348011255264282},{"id":"https://openalex.org/C81669768","wikidata":"https://www.wikidata.org/wiki/Q2359161","display_name":"Precision and recall","level":2,"score":0.4960847795009613},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.487519234418869},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.4848378896713257},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.48178383708000183},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.478293240070343},{"id":"https://openalex.org/C146599234","wikidata":"https://www.wikidata.org/wiki/Q511093","display_name":"Centroid","level":2,"score":0.45950859785079956},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45533910393714905},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.4369385242462158},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.39719104766845703},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.15705537796020508},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.14728212356567383},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1108/ijwis-08-2019-0035","is_oa":false,"landing_page_url":"https://doi.org/10.1108/ijwis-08-2019-0035","pdf_url":null,"source":{"id":"https://openalex.org/S145159096","display_name":"International Journal of Web Information Systems","issn_l":"1744-0084","issn":["1744-0084","1744-0092"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319811","host_organization_name":"Emerald Publishing Limited","host_organization_lineage":["https://openalex.org/P4310319811"],"host_organization_lineage_names":["Emerald Publishing Limited"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Web Information Systems","raw_type":"journal-article"},{"id":"pmh:oai:arrow.tudublin.ie:ittsciart-1089","is_oa":true,"landing_page_url":"https://arrow.tudublin.ie/ittsciart/88","pdf_url":null,"source":{"id":"https://openalex.org/S4377196307","display_name":"Arrow - TU Dublin (Technological University Dublin)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210144925","host_organization_name":"Technological University Dublin","host_organization_lineage":["https://openalex.org/I4210144925"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Articles","raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arrow.tudublin.ie:ittsciart-1089","is_oa":true,"landing_page_url":"https://arrow.tudublin.ie/ittsciart/88","pdf_url":null,"source":{"id":"https://openalex.org/S4377196307","display_name":"Arrow - TU Dublin (Technological University Dublin)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210144925","host_organization_name":"Technological University Dublin","host_organization_lineage":["https://openalex.org/I4210144925"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Articles","raw_type":"article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.4699999988079071}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1496167927","https://openalex.org/W1600984911","https://openalex.org/W1976859382","https://openalex.org/W1999954155","https://openalex.org/W2050205798","https://openalex.org/W2064485497","https://openalex.org/W2099126842","https://openalex.org/W2099419573","https://openalex.org/W2104391673","https://openalex.org/W2146241755","https://openalex.org/W2167329753","https://openalex.org/W2167429226","https://openalex.org/W2307605785","https://openalex.org/W2567346959","https://openalex.org/W6601865867","https://openalex.org/W6605761281","https://openalex.org/W6607259140","https://openalex.org/W6631254413","https://openalex.org/W6634405378","https://openalex.org/W6634819606","https://openalex.org/W6638581682","https://openalex.org/W6666552675","https://openalex.org/W6677442307","https://openalex.org/W6682241852","https://openalex.org/W6731743088","https://openalex.org/W6746598094"],"related_works":["https://openalex.org/W2381926679","https://openalex.org/W2125652721","https://openalex.org/W1540371141","https://openalex.org/W1549363203","https://openalex.org/W4231274751","https://openalex.org/W2154063878","https://openalex.org/W2280422768","https://openalex.org/W2556012038","https://openalex.org/W1487671059","https://openalex.org/W4317422759"],"abstract_inverted_index":{"Purpose":[0],"This":[1,275],"paper":[2,77,306],"aims":[3],"to":[4,56,96,116,168,236,258,278,292,385,408],"investigate":[5],"the":[6,9,29,32,48,58,63,94,127,164,170,175,181,186,195,203,209,234,241,251,260,263,280,283,289,294,305,341,406],"methods":[7,35,314],"for":[8,67,70,135,220,227,240,297,393],"prediction":[10,104,193],"of":[11,34,79,83,93,102,121,172,180,191,205,271,282,285,304,375],"tags":[12,69],"on":[13,23,37,194,288,346,390],"a":[14,42,71,118,125,131,141,178,356,367,372,387,394],"textual":[15],"corpus":[16],"that":[17,162,184,351],"describes":[18],"diverse":[19,391],"data":[20,95,211,246,349,369,376],"sets":[21],"based":[22,36,389],"short":[24],"messages;":[25],"as":[26,45,47,325,331,338,364,366],"an":[27,98,347],"example,":[28],"authors":[30,107,128,176,200,217,264,319,342],"demonstrate":[31],"usage":[33],"hotel":[38],"staff":[39],"inputs":[40],"in":[41,189,361],"ticketing":[43],"system":[44],"well":[46,365],"publicly":[49],"available":[50],"StackOverflow":[51,245],"corpus.":[52],"The":[53,76,106,160,199,216,300,318,379],"aim":[54],"is":[55],"improve":[57],"tagging":[59],"process":[60],"and":[61,91,100,147,157,244,291,302,334,358,377,402],"find":[62],"most":[64],"suitable":[65],"method":[66,207,222],"suggesting":[68],"new":[72],"text":[73],"entry.":[74],"Design/methodology/approach":[75],"consists":[78],"two":[80],"parts:":[81],"exploration":[82],"existing":[84],"sample":[85,196],"data,":[86],"which":[87,230],"includes":[88],"statistical":[89,142,328],"analysis":[90],"visualisation":[92],"provide":[97,177,233,259],"overview,":[99],"evaluation":[101],"tag":[103,192],"approaches.":[105],"have":[108,129,201,265,320,343],"included":[109],"different":[110,113,224,316],"approaches":[111,151,165],"from":[112,273,315],"research":[114],"fields":[115],"cover":[117],"broad":[119],"spectrum":[120],"possible":[122],"solutions.":[123],"As":[124,254],"result,":[126],"tested":[130],"machine":[132],"learning":[133],"model":[134,388,407],"multi-label":[136],"classification":[137,150],"(using":[138,144],"gradient":[139],"boosting),":[140],"approach":[143,183],"frequency":[145,228,332],"heuristics)":[146],"three":[148],"similarity-based":[149],"(nearest":[152],"centroid,":[153],"k-nearest":[154],"neighbours":[155,286],"(k-NN)":[156],"naive":[158,326],"Bayes).":[159],"experiment":[161],"compares":[163],"uses":[166],"recall":[167,219],"measure":[169],"quality":[171],"results.":[173],"Finally,":[174],"recommendation":[179],"modelling":[182],"produces":[185],"best":[187,252,261,295],"accuracy":[188],"terms":[190],"data.":[197,410],"Findings":[198],"calculated":[202],"performance":[204,290],"each":[206,221],"against":[208],"test":[210],"set":[212,350,370],"by":[213,309,355],"measuring":[214],"recall.":[215,253],"show":[218],"with":[223,269,312,371],"features":[225],"(except":[226],"heuristics,":[229,333],"does":[231],"not":[232],"option":[235],"add":[237],"additional":[238],"features)":[239],"dmbook":[242],"pro":[243],"sets.":[247],"k-NN":[248,255],"clearly":[249],"provides":[250],"turned":[256],"out":[257],"results,":[262],"performed":[266],"further":[267],"experiments":[268,311],"values":[270],"k":[272],"1\u201310.":[274],"helped":[276],"us":[277],"observe":[279],"impact":[281],"number":[284],"used":[287,321,359,384],"identify":[293],"value":[296,301],"k.":[298],"Originality/value":[299],"originality":[303],"are":[307],"given":[308],"extensive":[310],"several":[313],"domains.":[317],"probabilistic":[322],"methods,":[323,329],"such":[324,330,337],"Bayes,":[327],"similarity":[335],"approaches,":[336],"k-NN.":[339],"Furthermore,":[340],"produced":[344],"results":[345,381],"industrial-scale":[348],"has":[352],"been":[353],"provided":[354],"company":[357],"directly":[360],"their":[362],"project,":[363],"community-based":[368],"large":[373],"amount":[374],"dimensionality.":[378],"study":[380],"can":[382],"be":[383],"select":[386],"corpora":[392],"specific":[395],"use":[396],"case,":[397],"taking":[398],"into":[399],"account":[400],"advantages":[401],"disadvantages":[403],"when":[404],"applying":[405],"your":[409]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2026-08-14T07:06:38.338062","created_date":"2025-10-10T00:00:00"}