{"id":"https://openalex.org/W2886188696","doi":"https://doi.org/10.1080/09296174.2018.1504411","title":"A Stylistic Analysis for Gu Long\u2019s Kung Fu Novels","display_name":"A Stylistic Analysis for Gu Long\u2019s Kung Fu Novels","publication_year":2018,"publication_date":"2018-08-09","ids":{"openalex":"https://openalex.org/W2886188696","doi":"https://doi.org/10.1080/09296174.2018.1504411","mag":"2886188696"},"language":"en","primary_location":{"id":"doi:10.1080/09296174.2018.1504411","is_oa":false,"landing_page_url":"https://doi.org/10.1080/09296174.2018.1504411","pdf_url":null,"source":{"id":"https://openalex.org/S24321443","display_name":"Journal of Quantitative Linguistics","issn_l":"0929-6174","issn":["0929-6174","1744-5035"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319847","host_organization_name":"Routledge","host_organization_lineage":["https://openalex.org/P4310319847"],"host_organization_lineage_names":["Routledge"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Quantitative Linguistics","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/A5100414236","display_name":"Ying Liu","orcid":"https://orcid.org/0000-0002-4568-7585"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ying Liu","raw_affiliation_strings":["Department of Chinese Language and Literature, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Chinese Language and Literature, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5053566893","display_name":"TianJiu Xiao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"TianJiu Xiao","raw_affiliation_strings":["Chengdu Gome Big Data Technology Co. Ltd., Chengdu, China"],"affiliations":[{"raw_affiliation_string":"Chengdu Gome Big Data Technology Co. Ltd., Chengdu, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100414236"],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":0.4886,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.72729491,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"27","issue":"1","first_page":"32","last_page":"61"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12380","display_name":"Authorship Attribution and Profiling","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9864000082015991,"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":0.961899995803833,"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/punctuation","display_name":"Punctuation","score":0.8667190074920654},{"id":"https://openalex.org/keywords/paragraph","display_name":"Paragraph","score":0.6834793090820312},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.5789095163345337},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.5331190228462219},{"id":"https://openalex.org/keywords/style","display_name":"Style (visual arts)","score":0.5063120126724243},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.505767822265625},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.459751158952713},{"id":"https://openalex.org/keywords/gram","display_name":"Gram","score":0.4515768587589264},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.43131494522094727},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.4305298328399658},{"id":"https://openalex.org/keywords/morpheme","display_name":"Morpheme","score":0.42422983050346375},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4073060154914856},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3610674738883972},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.352658212184906},{"id":"https://openalex.org/keywords/literature","display_name":"Literature","score":0.28699129819869995},{"id":"https://openalex.org/keywords/art","display_name":"Art","score":0.19177401065826416},{"id":"https://openalex.org/keywords/philosophy","display_name":"Philosophy","score":0.15756753087043762}],"concepts":[{"id":"https://openalex.org/C540372491","wikidata":"https://www.wikidata.org/wiki/Q82622","display_name":"Punctuation","level":2,"score":0.8667190074920654},{"id":"https://openalex.org/C2777206241","wikidata":"https://www.wikidata.org/wiki/Q194431","display_name":"Paragraph","level":2,"score":0.6834793090820312},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.5789095163345337},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.5331190228462219},{"id":"https://openalex.org/C2776445246","wikidata":"https://www.wikidata.org/wiki/Q1792644","display_name":"Style (visual arts)","level":2,"score":0.5063120126724243},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.505767822265625},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.459751158952713},{"id":"https://openalex.org/C161369605","wikidata":"https://www.wikidata.org/wiki/Q41803","display_name":"Gram","level":3,"score":0.4515768587589264},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.43131494522094727},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.4305298328399658},{"id":"https://openalex.org/C165297611","wikidata":"https://www.wikidata.org/wiki/Q43249","display_name":"Morpheme","level":2,"score":0.42422983050346375},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4073060154914856},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3610674738883972},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.352658212184906},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.28699129819869995},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.19177401065826416},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.15756753087043762},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0},{"id":"https://openalex.org/C523546767","wikidata":"https://www.wikidata.org/wiki/Q10876","display_name":"Bacteria","level":2,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/09296174.2018.1504411","is_oa":false,"landing_page_url":"https://doi.org/10.1080/09296174.2018.1504411","pdf_url":null,"source":{"id":"https://openalex.org/S24321443","display_name":"Journal of Quantitative Linguistics","issn_l":"0929-6174","issn":["0929-6174","1744-5035"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319847","host_organization_name":"Routledge","host_organization_lineage":["https://openalex.org/P4310319847"],"host_organization_lineage_names":["Routledge"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Quantitative Linguistics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G7726606068","display_name":null,"funder_award_id":"16YYB021","funder_id":"https://openalex.org/F4320325931","funder_display_name":"Beijing Social Science Fund"}],"funders":[{"id":"https://openalex.org/F4320325931","display_name":"Beijing Social Science Fund","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1532325895","https://openalex.org/W1554215549","https://openalex.org/W1975653240","https://openalex.org/W1976711150","https://openalex.org/W2017361309","https://openalex.org/W2028025919","https://openalex.org/W2043976122","https://openalex.org/W2054151502","https://openalex.org/W2057592151","https://openalex.org/W2064762878","https://openalex.org/W2140190241","https://openalex.org/W2355847695","https://openalex.org/W2375511897","https://openalex.org/W2386946734","https://openalex.org/W3151491250","https://openalex.org/W4213009331"],"related_works":["https://openalex.org/W2364789806","https://openalex.org/W2908111806","https://openalex.org/W2580041870","https://openalex.org/W2391800119","https://openalex.org/W2595239241","https://openalex.org/W2052919063","https://openalex.org/W2799181378","https://openalex.org/W2358283139","https://openalex.org/W3003711649","https://openalex.org/W3209471724"],"abstract_inverted_index":{"Gu":[0,15,111],"Long\u2019s":[1,16,112],"novels":[2,10],"are":[3],"divided":[4],"into":[5],"three":[6,25],"periods.":[7],"Here,":[8],"16":[9],"have":[11,28,77],"been":[12],"selected":[13,29],"as":[14,78],"representative":[17],"works.":[18],"To":[19],"compare":[20],"the":[21,24,30,87,92,102,104,107,121],"style":[22,114],"of":[23,42,46,50,54,58,65,68,71],"periods,":[26],"we":[27],"following":[31],"14":[32],"features:":[33],"average":[34],"paragraph":[35],"lengths,":[36,38,40,44,48],"word":[37,43],"sentence":[39,47],"dispersion":[41,45],"part":[49],"speech":[51],"(POS),":[52],"POS":[53,57],"content":[55],"words,":[56,60,63,69],"function":[59],"punctuation,":[61],"high-frequency":[62],"n-gram":[64,67,70],"POS,":[66],"punctuation":[72],"and":[73,106,110],"multiple":[74],"features.":[75,93],"We":[76],"well":[79],"utilized":[80],"a":[81,117],"hierarchical":[82],"clustering":[83],"method":[84],"to":[85],"cluster":[86],"novels,":[88],"based":[89],"on":[90],"all":[91],"The":[94],"results":[95],"show":[96],"that":[97],"there":[98],"exist":[99],"differences":[100],"among":[101],"first,":[103],"middle":[105],"last":[108],"period":[109],"novel":[113],"has":[115],"undergone":[116],"deep":[118],"change":[119],"over":[120],"years.":[122]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
