{"id":"https://openalex.org/W4389606824","doi":"https://doi.org/10.1109/ialp61005.2023.10337054","title":"Research on News Text Clustering for International Chinese Education","display_name":"Research on News Text Clustering for International Chinese Education","publication_year":2023,"publication_date":"2023-11-18","ids":{"openalex":"https://openalex.org/W4389606824","doi":"https://doi.org/10.1109/ialp61005.2023.10337054"},"language":"en","primary_location":{"id":"doi:10.1109/ialp61005.2023.10337054","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ialp61005.2023.10337054","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 International Conference on Asian Language Processing (IALP)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5113126000","display_name":"Liangjie Yuan","orcid":null},"institutions":[{"id":"https://openalex.org/I115212828","display_name":"Beijing Language and Culture University","ror":"https://ror.org/03te2zs36","country_code":"CN","type":"education","lineage":["https://openalex.org/I115212828"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liangjie Yuan","raw_affiliation_strings":["Research Institute of International Chinese Language Education, Beijing Language and Culture University,Beijing,China","Research Institute of International Chinese Language Education, Beijing Language and Culture University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Research Institute of International Chinese Language Education, Beijing Language and Culture University,Beijing,China","institution_ids":["https://openalex.org/I115212828"]},{"raw_affiliation_string":"Research Institute of International Chinese Language Education, Beijing Language and Culture University, Beijing, China","institution_ids":["https://openalex.org/I115212828"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014557810","display_name":"Huizhou Zhao","orcid":"https://orcid.org/0009-0002-6493-3101"},"institutions":[{"id":"https://openalex.org/I115212828","display_name":"Beijing Language and Culture University","ror":"https://ror.org/03te2zs36","country_code":"CN","type":"education","lineage":["https://openalex.org/I115212828"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huizhou Zhao","raw_affiliation_strings":["College of Information Science, Beijing Language and Culture University,Beijing,China","College of Information Science, Beijing Language and Culture University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Science, Beijing Language and Culture University,Beijing,China","institution_ids":["https://openalex.org/I115212828"]},{"raw_affiliation_string":"College of Information Science, Beijing Language and Culture University, Beijing, China","institution_ids":["https://openalex.org/I115212828"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100773660","display_name":"Zhimin Wang","orcid":"https://orcid.org/0000-0001-9758-4388"},"institutions":[{"id":"https://openalex.org/I186272606","display_name":"Guangdong University of Foreign Studies","ror":"https://ror.org/00fhc9y79","country_code":"CN","type":"education","lineage":["https://openalex.org/I186272606"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhimin Wang","raw_affiliation_strings":["Guangdong University of Foreign Studies,Faculty of Chinese Language and Culture,Guangzhou,China","Faculty of Chinese Language and Culture, Guangdong University of Foreign Studies, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guangdong University of Foreign Studies,Faculty of Chinese Language and Culture,Guangzhou,China","institution_ids":["https://openalex.org/I186272606"]},{"raw_affiliation_string":"Faculty of Chinese Language and Culture, Guangdong University of Foreign Studies, Guangzhou, China","institution_ids":["https://openalex.org/I186272606"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"377","last_page":"382"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.9593999981880188,"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":0.9593999981880188,"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/T14025","display_name":"Educational Technology and Assessment","score":0.9233999848365784,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9171000123023987,"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/cluster-analysis","display_name":"Cluster analysis","score":0.6373685598373413},{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.6044896841049194},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5501558780670166},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5285928249359131},{"id":"https://openalex.org/keywords/logistic-regression","display_name":"Logistic regression","score":0.48343122005462646},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4273115396499634},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.33403825759887695},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.330130934715271},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3022899031639099},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.23462870717048645},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.1281088888645172}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6373685598373413},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.6044896841049194},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5501558780670166},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5285928249359131},{"id":"https://openalex.org/C151956035","wikidata":"https://www.wikidata.org/wiki/Q1132755","display_name":"Logistic regression","level":2,"score":0.48343122005462646},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4273115396499634},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.33403825759887695},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.330130934715271},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3022899031639099},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.23462870717048645},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.1281088888645172},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.0},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ialp61005.2023.10337054","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ialp61005.2023.10337054","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 International Conference on Asian Language Processing (IALP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1989832214","https://openalex.org/W2484142134","https://openalex.org/W2606836989","https://openalex.org/W2769531763","https://openalex.org/W2907841492","https://openalex.org/W2964938584","https://openalex.org/W2998388915","https://openalex.org/W3090665393","https://openalex.org/W4244891697","https://openalex.org/W4296900767"],"related_works":["https://openalex.org/W2394466068","https://openalex.org/W1987683558","https://openalex.org/W4298130764","https://openalex.org/W2804364458","https://openalex.org/W2726838704","https://openalex.org/W2129863591","https://openalex.org/W4313459160","https://openalex.org/W4367331014","https://openalex.org/W3160122104","https://openalex.org/W4388681644"],"abstract_inverted_index":{"The":[0],"automatic":[1,54],"clustering":[2],"technology":[3],"for":[4,68,74],"news":[5,29,57,75,84,105],"texts":[6,30,58],"is":[7],"increasingly":[8],"mature,":[9],"enabling":[10],"the":[11,16,80,89,102,116,128,134,145],"monitoring":[12,130],"and":[13,49,71,119,131],"analysis":[14,103,132],"of":[15,18,28,31,56,63,83,93,104,115,122,133,137],"development":[17,91,135],"international":[19,32,94,138],"Chinese":[20,33,95,123,139],"education.":[21,124],"In":[22],"this":[23,86],"study,":[24],"a":[25],"large-scale":[26],"corpus":[27],"education":[34,96,140],"was":[35],"collected.":[36],"Seven":[37],"classification":[38,55,76,81],"models":[39],"were":[40,77,111],"used,":[41],"including":[42],"logistic":[43],"regression,":[44],"decision":[45],"trees,":[46],"random":[47],"forests":[48],"naive":[50],"Bayes,":[51],"to":[52],"achieve":[53],"with":[59],"an":[60],"accuracy":[61],"rate":[62],"85%.":[64],"Additionally,":[65],"three":[66],"principles":[67],"data":[69],"collection":[70],"five":[72],"categories":[73],"established.":[78],"From":[79],"features":[82],"texts,":[85],"study":[87],"revealed":[88],"current":[90],"status":[92],"in":[97,113,141],"multiple":[98],"countries":[99,143],"worldwide.":[100],"Through":[101],"from":[106],"different":[107],"countries,":[108],"distinct":[109],"characteristics":[110],"identified":[112],"terms":[114],"content,":[117],"format,":[118],"reporting":[120],"style":[121],"These":[125],"findings":[126],"enable":[127],"dynamic":[129],"trends":[136],"various":[142],"around":[144],"world.":[146]},"counts_by_year":[{"year":2024,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}