{"id":"https://openalex.org/W2895675920","doi":"https://doi.org/10.1177/0165551518802522","title":"Text classification for cognitive domains: A case using lexical, syntactic and semantic features","display_name":"Text classification for cognitive domains: A case using lexical, syntactic and semantic features","publication_year":2018,"publication_date":"2018-10-01","ids":{"openalex":"https://openalex.org/W2895675920","doi":"https://doi.org/10.1177/0165551518802522","mag":"2895675920"},"language":"en","primary_location":{"id":"doi:10.1177/0165551518802522","is_oa":false,"landing_page_url":"https://doi.org/10.1177/0165551518802522","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/A5046412520","display_name":"Chen Qiao","orcid":"https://orcid.org/0000-0002-4382-3221"},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":true,"raw_author_name":"Chen Qiao","raw_affiliation_strings":["Division of Information and Technology Studies, The University of Hong Kong, Hong Kong"],"raw_orcid":"https://orcid.org/0000-0002-4382-3221","affiliations":[{"raw_affiliation_string":"Division of Information and Technology Studies, The University of Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I889458895"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052775912","display_name":"Xiao Hu","orcid":"https://orcid.org/0000-0003-3994-0385"},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Xiao Hu","raw_affiliation_strings":["Division of Information and Technology Studies, The University of Hong Kong, Hong Kong"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Division of Information and Technology Studies, The University of Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I889458895"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5046412520"],"corresponding_institution_ids":["https://openalex.org/I889458895"],"apc_list":null,"apc_paid":null,"fwci":0.5075,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.74488667,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"45","issue":"4","first_page":"516","last_page":"528"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9990000128746033,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9990000128746033,"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/T10028","display_name":"Topic Modeling","score":0.9722999930381775,"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":0.9591000080108643,"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":0.7563415765762329},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.7078823447227478},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.682327151298523},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6256318092346191},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.5625353455543518},{"id":"https://openalex.org/keywords/cognition","display_name":"Cognition","score":0.528956413269043},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.46355190873146057},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.43776530027389526},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.428294837474823},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.4219544231891632},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.40880125761032104},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.16006654500961304}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7563415765762329},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.7078823447227478},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.682327151298523},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6256318092346191},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.5625353455543518},{"id":"https://openalex.org/C169900460","wikidata":"https://www.wikidata.org/wiki/Q2200417","display_name":"Cognition","level":2,"score":0.528956413269043},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.46355190873146057},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.43776530027389526},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.428294837474823},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.4219544231891632},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.40880125761032104},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.16006654500961304},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"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/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1177/0165551518802522","is_oa":false,"landing_page_url":"https://doi.org/10.1177/0165551518802522","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","id":"https://metadata.un.org/sdg/10","score":0.6399999856948853}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W115394847","https://openalex.org/W248626835","https://openalex.org/W656244609","https://openalex.org/W1503398984","https://openalex.org/W1579838312","https://openalex.org/W1966976587","https://openalex.org/W2004691253","https://openalex.org/W2009976818","https://openalex.org/W2025065383","https://openalex.org/W2027147487","https://openalex.org/W2101234009","https://openalex.org/W2121044470","https://openalex.org/W2169110538","https://openalex.org/W2315807301","https://openalex.org/W2590178619","https://openalex.org/W2614322402","https://openalex.org/W2903950532","https://openalex.org/W3152061084","https://openalex.org/W4231467394","https://openalex.org/W4231492589","https://openalex.org/W4231900557","https://openalex.org/W4237828565","https://openalex.org/W4239510810","https://openalex.org/W4253944259","https://openalex.org/W4294214983"],"related_works":["https://openalex.org/W2012531322","https://openalex.org/W2402761219","https://openalex.org/W2785900585","https://openalex.org/W2353730437","https://openalex.org/W2490303674","https://openalex.org/W2609066826","https://openalex.org/W2810752900","https://openalex.org/W2365677836","https://openalex.org/W4386564352","https://openalex.org/W2952668426"],"abstract_inverted_index":{"Various":[0],"automated":[1],"classifiers":[2],"have":[3,16,23,52],"been":[4,54],"implemented":[5],"to":[6,34,40,127],"categorise":[7],"learning-related":[8],"texts":[9,26],"into":[10],"cognitive":[11,134],"domains.":[12],"However,":[13],"existing":[14],"studies":[15],"applied":[17,126],"limited":[18],"linguistic":[19],"features,":[20],"and":[21,73,105,136,144],"most":[22],"focused":[24],"on":[25,63],"written":[27],"in":[28,57,96,147],"English,":[29],"with":[30,60],"little":[31],"attention":[32],"given":[33],"Chinese.":[35],"This":[36],"study":[37],"has":[38],"tried":[39],"fill":[41],"the":[42,82,102,106,110,137],"gaps":[43],"by":[44,116],"applying":[45],"a":[46,61,76],"comprehensive":[47],"set":[48],"of":[49,91,101,109,130],"features":[50,92,111,139],"that":[51,88],"rarely":[53],"used":[55],"collectively":[56],"previous":[58],"research,":[59],"focus":[62],"Chinese":[64],"analytical":[65,131],"texts.":[66],"Experiments":[67],"were":[68],"conducted":[69],"for":[70],"classifier":[71],"learning":[72],"evaluation,":[74],"where":[75],"feature":[77],"selection":[78],"procedure":[79],"significantly":[80],"improved":[81],"classification":[83],"performance.":[84],"The":[85,120],"results":[86],"showed":[87],"different":[89],"types":[90],"complemented":[93],"each":[94],"other":[95,128],"forming":[97],"strong":[98],"collective":[99],"representations":[100],"original":[103],"texts,":[104],"discriminant":[107],"nature":[108],"can":[112],"be":[113,125,142],"reasonably":[114],"explained":[115],"language":[117],"usage":[118],"phenomena.":[119],"proposed":[121],"approach":[122],"could":[123,141],"potentially":[124],"datasets":[129],"writings":[132],"involving":[133],"domains,":[135],"text":[138],"explored":[140],"reused":[143],"further":[145],"refined":[146],"future":[148],"studies.":[149]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}