{"id":"https://openalex.org/W3111822137","doi":"https://doi.org/10.1108/lht-12-2019-0247","title":"Examining research topics with a dependency-based noun phrase extraction method: a case in accounting","display_name":"Examining research topics with a dependency-based noun phrase extraction method: a case in accounting","publication_year":2020,"publication_date":"2020-12-11","ids":{"openalex":"https://openalex.org/W3111822137","doi":"https://doi.org/10.1108/lht-12-2019-0247","mag":"3111822137"},"language":"en","primary_location":{"id":"doi:10.1108/lht-12-2019-0247","is_oa":false,"landing_page_url":"https://doi.org/10.1108/lht-12-2019-0247","pdf_url":null,"source":{"id":"https://openalex.org/S143568823","display_name":"Library Hi Tech","issn_l":"0737-8831","issn":["0737-8831","2054-166X"],"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":"Library Hi Tech","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/A5100381349","display_name":"Lei Lei","orcid":"https://orcid.org/0000-0002-3366-1855"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lei Lei","raw_affiliation_strings":["Department of English, School of Foreign Languages, Huazhong University of Science and Technology, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Department of English, School of Foreign Languages, Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071800757","display_name":"Yaochen Deng","orcid":"https://orcid.org/0000-0001-5463-8278"},"institutions":[{"id":"https://openalex.org/I156292868","display_name":"Dalian University of Foreign Languages","ror":"https://ror.org/008a8z393","country_code":"CN","type":"education","lineage":["https://openalex.org/I156292868"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yaochen Deng","raw_affiliation_strings":["School of English Studies, Dalian University of Foreign Languages, Dalian, China"],"affiliations":[{"raw_affiliation_string":"School of English Studies, Dalian University of Foreign Languages, Dalian, China","institution_ids":["https://openalex.org/I156292868"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001980782","display_name":"Dilin Liu","orcid":"https://orcid.org/0000-0002-8290-3734"},"institutions":[{"id":"https://openalex.org/I17301866","display_name":"University of Alabama","ror":"https://ror.org/03xrrjk67","country_code":"US","type":"education","lineage":["https://openalex.org/I17301866"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dilin Liu","raw_affiliation_strings":["Department of English, University of Alabama, Tuscaloosa, USA"],"affiliations":[{"raw_affiliation_string":"Department of English, University of Alabama, Tuscaloosa, USA","institution_ids":["https://openalex.org/I17301866"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100381349"],"corresponding_institution_ids":["https://openalex.org/I47720641"],"apc_list":null,"apc_paid":null,"fwci":1.9884,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.89379901,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"41","issue":"2","first_page":"570","last_page":"582"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9962000250816345,"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":0.9962000250816345,"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/T13910","display_name":"Computational and Text Analysis Methods","score":0.9923999905586243,"subfield":{"id":"https://openalex.org/subfields/3300","display_name":"General Social Sciences"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10102","display_name":"scientometrics and bibliometrics research","score":0.9746999740600586,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/latent-dirichlet-allocation","display_name":"Latent Dirichlet allocation","score":0.8663244247436523},{"id":"https://openalex.org/keywords/dependency","display_name":"Dependency (UML)","score":0.635405421257019},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6240270733833313},{"id":"https://openalex.org/keywords/originality","display_name":"Originality","score":0.5733093619346619},{"id":"https://openalex.org/keywords/topic-model","display_name":"Topic model","score":0.5547597408294678},{"id":"https://openalex.org/keywords/phrase","display_name":"Phrase","score":0.5335769057273865},{"id":"https://openalex.org/keywords/noun-phrase","display_name":"Noun phrase","score":0.5231346487998962},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.48744919896125793},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.46845269203186035},{"id":"https://openalex.org/keywords/noun","display_name":"Noun","score":0.41119584441185},{"id":"https://openalex.org/keywords/accounting","display_name":"Accounting","score":0.4004812240600586},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.30805909633636475},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.2692113220691681},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2048071324825287},{"id":"https://openalex.org/keywords/social-science","display_name":"Social science","score":0.13481709361076355},{"id":"https://openalex.org/keywords/sociology","display_name":"Sociology","score":0.11685746908187866}],"concepts":[{"id":"https://openalex.org/C500882744","wikidata":"https://www.wikidata.org/wiki/Q269236","display_name":"Latent Dirichlet allocation","level":3,"score":0.8663244247436523},{"id":"https://openalex.org/C19768560","wikidata":"https://www.wikidata.org/wiki/Q320727","display_name":"Dependency (UML)","level":2,"score":0.635405421257019},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6240270733833313},{"id":"https://openalex.org/C2776950860","wikidata":"https://www.wikidata.org/wiki/Q2914681","display_name":"Originality","level":3,"score":0.5733093619346619},{"id":"https://openalex.org/C171686336","wikidata":"https://www.wikidata.org/wiki/Q3532085","display_name":"Topic model","level":2,"score":0.5547597408294678},{"id":"https://openalex.org/C2776224158","wikidata":"https://www.wikidata.org/wiki/Q187931","display_name":"Phrase","level":2,"score":0.5335769057273865},{"id":"https://openalex.org/C153962237","wikidata":"https://www.wikidata.org/wiki/Q1401131","display_name":"Noun phrase","level":3,"score":0.5231346487998962},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.48744919896125793},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.46845269203186035},{"id":"https://openalex.org/C121934690","wikidata":"https://www.wikidata.org/wiki/Q1084","display_name":"Noun","level":2,"score":0.41119584441185},{"id":"https://openalex.org/C121955636","wikidata":"https://www.wikidata.org/wiki/Q4116214","display_name":"Accounting","level":1,"score":0.4004812240600586},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.30805909633636475},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.2692113220691681},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2048071324825287},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.13481709361076355},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.11685746908187866},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C190248442","wikidata":"https://www.wikidata.org/wiki/Q839486","display_name":"Qualitative research","level":2,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1108/lht-12-2019-0247","is_oa":false,"landing_page_url":"https://doi.org/10.1108/lht-12-2019-0247","pdf_url":null,"source":{"id":"https://openalex.org/S143568823","display_name":"Library Hi Tech","issn_l":"0737-8831","issn":["0737-8831","2054-166X"],"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":"Library Hi Tech","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.6700000166893005,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":51,"referenced_works":["https://openalex.org/W150292108","https://openalex.org/W1551384396","https://openalex.org/W1834901407","https://openalex.org/W1880262756","https://openalex.org/W1966959674","https://openalex.org/W1980063395","https://openalex.org/W1988661732","https://openalex.org/W2020848168","https://openalex.org/W2044070623","https://openalex.org/W2085327281","https://openalex.org/W2117318937","https://openalex.org/W2117667023","https://openalex.org/W2145713659","https://openalex.org/W2147152072","https://openalex.org/W2150220236","https://openalex.org/W2154490712","https://openalex.org/W2156526142","https://openalex.org/W2170223192","https://openalex.org/W2268178558","https://openalex.org/W2341884480","https://openalex.org/W2524258138","https://openalex.org/W2528295441","https://openalex.org/W2535520885","https://openalex.org/W2544892648","https://openalex.org/W2721503627","https://openalex.org/W2747269555","https://openalex.org/W2762004483","https://openalex.org/W2763300630","https://openalex.org/W2766029961","https://openalex.org/W2788847623","https://openalex.org/W2790855988","https://openalex.org/W2793241796","https://openalex.org/W2800324063","https://openalex.org/W2802855213","https://openalex.org/W2805661824","https://openalex.org/W2809603040","https://openalex.org/W2885967569","https://openalex.org/W2887562704","https://openalex.org/W2889542999","https://openalex.org/W2895087500","https://openalex.org/W2913100704","https://openalex.org/W2914691900","https://openalex.org/W2918109333","https://openalex.org/W2924721591","https://openalex.org/W2937426494","https://openalex.org/W2943038294","https://openalex.org/W2944599990","https://openalex.org/W2949376958","https://openalex.org/W3123509180","https://openalex.org/W4232492227","https://openalex.org/W4233135949"],"related_works":["https://openalex.org/W2769501189","https://openalex.org/W4315588616","https://openalex.org/W4312773271","https://openalex.org/W2888805565","https://openalex.org/W2962686197","https://openalex.org/W3005513013","https://openalex.org/W2207653751","https://openalex.org/W3159709618","https://openalex.org/W2611137333","https://openalex.org/W4389543811"],"abstract_inverted_index":{"Purpose":[0],"Examining":[1],"research":[2,26,37,65,127,149,191],"topics":[3,27,44,66,84,128,138,150,192],"in":[4,28,50,99,109,196,204],"a":[5,68,103],"specific":[6],"area":[7,30,206],"such":[8],"as":[9,133,135],"accounting":[10,32,114],"is":[11],"important":[12,126],"to":[13,23,34,82,118,159,187,201],"both":[14],"novice":[15],"and":[16,33,42,139,182,193],"veteran":[17],"researchers.":[18,95],"The":[19,96,122,148],"present":[20],"study":[21,101,123,198],"aims":[22],"identify":[24,83],"the":[25,29,36,51,94,100,130,144,154,163,177,183,190,197,202,205],"of":[31,71,105,165,207],"investigate":[35],"trends":[38,194],"by":[39],"finding":[40],"hot":[41,137],"cold":[43,141],"from":[45,67,93,116,143],"all":[46],"those":[47,160],"identified":[48,124,151],"ones":[49],"field.":[52],"Design/methodology/approach":[53],"A":[54],"new":[55],"dependency-based":[56,155],"method":[57,156,178],"focusing":[58],"on":[59,153],"noun":[60],"phrases,":[61],"which":[62],"efficiently":[63],"extracts":[64],"large":[69],"set":[70],"library":[72],"data,":[73],"was":[74,80],"proposed.":[75],"An":[76],"AR(1)":[77],"autoregressive":[78],"model":[79],"used":[81,98],"that":[85],"have":[86],"received":[87],"significantly":[88],"more":[89],"or":[90],"less":[91],"attention":[92],"data":[97],"included":[102],"total":[104],"4,182":[106],"abstracts":[107],"published":[108],"six":[110],"leading":[111],"(or":[112],"premier)":[113],"journals":[115],"2000":[117],"May":[119],"2019.":[120],"Findings":[121],"48":[125,145],"across":[129],"examined":[131],"period":[132],"well":[134],"eight":[136],"one":[140],"topic":[142,173],"topics.":[146],"Originality/value":[147],"based":[152],"are":[157,185],"similar":[158],"found":[161,195],"with":[162],"technique":[164],"latent":[166,169],"Dirichlet":[167,170],"allocation":[168,171],"(LDA)":[172],"modelling.":[174],"In":[175],"addition,":[176],"seems":[179],"highly":[180],"efficient,":[181],"results":[184],"easier":[186],"interpret.":[188],"Last,":[189],"provide":[199],"reference":[200],"researchers":[203],"accounting.":[208]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
