{"id":"https://openalex.org/W2744886091","doi":"https://doi.org/10.1145/3106426.3109045","title":"Quantitative style analysis of Mo Yan and Zhang Wei's novels","display_name":"Quantitative style analysis of Mo Yan and Zhang Wei's novels","publication_year":2017,"publication_date":"2017-08-10","ids":{"openalex":"https://openalex.org/W2744886091","doi":"https://doi.org/10.1145/3106426.3109045","mag":"2744886091"},"language":"en","primary_location":{"id":"doi:10.1145/3106426.3109045","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3106426.3109045","pdf_url":null,"source":{"id":"https://openalex.org/S4306524158","display_name":"Proceedings of the International Conference on Web Intelligence","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Conference on Web Intelligence","raw_type":"proceedings-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/A5075896685","display_name":"Yunxuan Li","orcid":"https://orcid.org/0000-0002-0738-5383"},"institutions":[{"id":"https://openalex.org/I182707071","display_name":"Ludong University","ror":"https://ror.org/028h95t32","country_code":"CN","type":"education","lineage":["https://openalex.org/I182707071"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunxuan Li","raw_affiliation_strings":["Ludong University Yantai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ludong University Yantai, China","institution_ids":["https://openalex.org/I182707071"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101007901","display_name":"Wei\u2010Yun Ji","orcid":null},"institutions":[{"id":"https://openalex.org/I182707071","display_name":"Ludong University","ror":"https://ror.org/028h95t32","country_code":"CN","type":"education","lineage":["https://openalex.org/I182707071"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weiyun Ji","raw_affiliation_strings":["Ludong University Yantai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ludong University Yantai, China","institution_ids":["https://openalex.org/I182707071"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5106071772","display_name":"Dekuan Xu","orcid":null},"institutions":[{"id":"https://openalex.org/I182707071","display_name":"Ludong University","ror":"https://ror.org/028h95t32","country_code":"CN","type":"education","lineage":["https://openalex.org/I182707071"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dekuan Xu","raw_affiliation_strings":["Ludong University Yantai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ludong University Yantai, China","institution_ids":["https://openalex.org/I182707071"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.07023896,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"06","issue":null,"first_page":"1158","last_page":"1161"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12380","display_name":"Authorship Attribution and Profiling","score":0.7788000106811523,"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":0.7788000106811523,"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/T10759","display_name":"Translation Studies and Practices","score":0.6912999749183655,"subfield":{"id":"https://openalex.org/subfields/1203","display_name":"Language and Linguistics"},"field":{"id":"https://openalex.org/fields/12","display_name":"Arts and Humanities"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/zh\u00e0ng","display_name":"Zh\u00e0ng","score":0.9190249443054199},{"id":"https://openalex.org/keywords/style","display_name":"Style (visual arts)","score":0.6462110280990601},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6005587577819824},{"id":"https://openalex.org/keywords/string","display_name":"String (physics)","score":0.551731526851654},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5393033623695374},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5122865438461304},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.498737096786499},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.48935145139694214},{"id":"https://openalex.org/keywords/statistic","display_name":"Statistic","score":0.48367318511009216},{"id":"https://openalex.org/keywords/perspective","display_name":"Perspective (graphical)","score":0.47305408120155334},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4701813757419586},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.42753326892852783},{"id":"https://openalex.org/keywords/history","display_name":"History","score":0.24222594499588013},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.227267324924469},{"id":"https://openalex.org/keywords/literature","display_name":"Literature","score":0.2098892629146576},{"id":"https://openalex.org/keywords/art","display_name":"Art","score":0.18236777186393738},{"id":"https://openalex.org/keywords/philosophy","display_name":"Philosophy","score":0.14489081501960754},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.11957177519798279}],"concepts":[{"id":"https://openalex.org/C2777045944","wikidata":"https://www.wikidata.org/wiki/Q12170198","display_name":"Zh\u00e0ng","level":3,"score":0.9190249443054199},{"id":"https://openalex.org/C2776445246","wikidata":"https://www.wikidata.org/wiki/Q1792644","display_name":"Style (visual arts)","level":2,"score":0.6462110280990601},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6005587577819824},{"id":"https://openalex.org/C157486923","wikidata":"https://www.wikidata.org/wiki/Q1376436","display_name":"String (physics)","level":2,"score":0.551731526851654},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5393033623695374},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5122865438461304},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.498737096786499},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.48935145139694214},{"id":"https://openalex.org/C89128539","wikidata":"https://www.wikidata.org/wiki/Q1949963","display_name":"Statistic","level":2,"score":0.48367318511009216},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.47305408120155334},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4701813757419586},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.42753326892852783},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.24222594499588013},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.227267324924469},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.2098892629146576},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.18236777186393738},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.14489081501960754},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.11957177519798279},{"id":"https://openalex.org/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","level":1,"score":0.0},{"id":"https://openalex.org/C191935318","wikidata":"https://www.wikidata.org/wiki/Q148","display_name":"China","level":2,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3106426.3109045","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3106426.3109045","pdf_url":null,"source":{"id":"https://openalex.org/S4306524158","display_name":"Proceedings of the International Conference on Web Intelligence","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Conference on Web Intelligence","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.75,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2364559953","https://openalex.org/W2375840727","https://openalex.org/W2389678104","https://openalex.org/W2375137083","https://openalex.org/W2380507695","https://openalex.org/W2367687999","https://openalex.org/W2387562377","https://openalex.org/W2384722335","https://openalex.org/W2385356237","https://openalex.org/W2352734716"],"abstract_inverted_index":{"Selecting":[0],"24":[1],"novels":[2,24],"written":[3],"by":[4],"Mo":[5,19,62,111],"Yan":[6,20,63],"and":[7,21,52,64,78,99,102],"Zhang":[8,22,65,115],"Wei":[9],"as":[10],"corpus,":[11],"This":[12],"paper":[13],"analyzed":[14],"the":[15,26,33,37,41,44,47,94,104],"stylistic":[16],"features":[17],"of":[18,28,39,46,83,96,100,106],"Wei's":[23,66,116],"from":[25,90],"perspective":[27],"quantitative":[29],"style.":[30],"Features":[31],"include":[32],"pauses":[34],"in":[35,70,93,103],"sentences,":[36],"relevance":[38],"context,":[40],"type/token":[42],"ratio,":[43],"frequency":[45],"word":[48],"string,":[49],"high-frequency":[50],"words":[51,101],"text":[53],"clustering.":[54],"Through":[55],"statistic":[56],"analysis,":[57],"it":[58],"is":[59,117],"found":[60],"that":[61],"works":[67],"have":[68],"much":[69],"common,":[71],"which":[72],"are":[73,88],"both":[74],"very":[75],"oral,":[76],"creative":[77],"can":[79],"use":[80],"all":[81],"kinds":[82],"linguistic":[84],"materials.":[85],"However,":[86],"they":[87],"different":[89],"one":[91],"another":[92],"usage":[95],"sentence":[97],"patterns":[98],"attention":[105],"social":[107],"life.":[108],"Compared":[109],"with":[110],"Yan's":[112],"language":[113],"features,":[114],"more":[118],"changeable.":[119]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
