{"id":"https://openalex.org/W7117644299","doi":"https://doi.org/10.1155/cplx/1970131","title":"Text Classification of Multiple Datasets Based on Multidimensional Information","display_name":"Text Classification of Multiple Datasets Based on Multidimensional Information","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W7117644299","doi":"https://doi.org/10.1155/cplx/1970131"},"language":"en","primary_location":{"id":"doi:10.1155/cplx/1970131","is_oa":true,"landing_page_url":"https://doi.org/10.1155/cplx/1970131","pdf_url":"https://onlinelibrary.wiley.com/doi/pdfdirect/10.1155/cplx/1970131","source":{"id":"https://openalex.org/S207319443","display_name":"Complexity","issn_l":"1076-2787","issn":["1076-2787","1099-0526"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869","https://openalex.org/P4310320595"],"host_organization_lineage_names":["Hindawi Publishing Corporation","Wiley"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complexity","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://onlinelibrary.wiley.com/doi/pdfdirect/10.1155/cplx/1970131","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5103063791","display_name":"Hui Du","orcid":"https://orcid.org/0009-0005-8996-597X"},"institutions":[{"id":"https://openalex.org/I4210100255","display_name":"Beijing Academy of Artificial Intelligence","ror":"https://ror.org/016a74861","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210100255"]},{"id":"https://openalex.org/I4210152042","display_name":"Beijing Polytechnic","ror":"https://ror.org/03xgzn792","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210152042"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hui Du","raw_affiliation_strings":["School of Artificial Intelligence ,  Beijing Polytechnic ,  Beijing ,  100176 ,  China , bgy.org.cn"],"raw_orcid":"https://orcid.org/0009-0005-8996-597X","affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence ,  Beijing Polytechnic ,  Beijing ,  100176 ,  China , bgy.org.cn","institution_ids":["https://openalex.org/I4210100255","https://openalex.org/I4210152042"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5121627930","display_name":"Hengguang Li","orcid":null},"institutions":[{"id":"https://openalex.org/I185443292","display_name":"Wayne State University","ror":"https://ror.org/01070mq45","country_code":"US","type":"education","lineage":["https://openalex.org/I185443292"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hengguang Li","raw_affiliation_strings":["Department of Mathematics ,  Wayne State University ,  Detroit ,  48202 , Michigan,  USA , wayne.edu"],"raw_orcid":"https://orcid.org/0000-0001-9283-7366","affiliations":[{"raw_affiliation_string":"Department of Mathematics ,  Wayne State University ,  Detroit ,  48202 , Michigan,  USA , wayne.edu","institution_ids":["https://openalex.org/I185443292"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015867638","display_name":"Guanghao Jin","orcid":"https://orcid.org/0000-0003-2116-4410"},"institutions":[{"id":"https://openalex.org/I4210100255","display_name":"Beijing Academy of Artificial Intelligence","ror":"https://ror.org/016a74861","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210100255"]},{"id":"https://openalex.org/I4210152042","display_name":"Beijing Polytechnic","ror":"https://ror.org/03xgzn792","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210152042"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guanghao Jin","raw_affiliation_strings":["School of Artificial Intelligence ,  Beijing Polytechnic ,  Beijing ,  100176 ,  China , bgy.org.cn"],"raw_orcid":"https://orcid.org/0000-0003-2116-4410","affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence ,  Beijing Polytechnic ,  Beijing ,  100176 ,  China , bgy.org.cn","institution_ids":["https://openalex.org/I4210100255","https://openalex.org/I4210152042"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079145327","display_name":"Zhengchao Ding","orcid":"https://orcid.org/0009-0002-9105-5711"},"institutions":[{"id":"https://openalex.org/I198091727","display_name":"Tiangong University","ror":"https://ror.org/00xsr9m91","country_code":"CN","type":"education","lineage":["https://openalex.org/I198091727"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhengchao Ding","raw_affiliation_strings":["School of Software ,  Tiangong University ,  Tianjin ,  300387 ,  China , tjpu.edu.cn"],"raw_orcid":"https://orcid.org/0009-0002-9105-5711","affiliations":[{"raw_affiliation_string":"School of Software ,  Tiangong University ,  Tianjin ,  300387 ,  China , tjpu.edu.cn","institution_ids":["https://openalex.org/I198091727"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5121626899","display_name":"JoonYoung Paik","orcid":null},"institutions":[{"id":"https://openalex.org/I198091727","display_name":"Tiangong University","ror":"https://ror.org/00xsr9m91","country_code":"CN","type":"education","lineage":["https://openalex.org/I198091727"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"JoonYoung Paik","raw_affiliation_strings":["School of Computer Science and Technology ,  Tiangong University ,  Tianjin ,  300387 ,  China , tjpu.edu.cn"],"raw_orcid":"https://orcid.org/0000-0002-2957-4177","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology ,  Tiangong University ,  Tianjin ,  300387 ,  China , tjpu.edu.cn","institution_ids":["https://openalex.org/I198091727"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022686531","display_name":"Rize Jin","orcid":"https://orcid.org/0000-0001-5537-0744"},"institutions":[{"id":"https://openalex.org/I198091727","display_name":"Tiangong University","ror":"https://ror.org/00xsr9m91","country_code":"CN","type":"education","lineage":["https://openalex.org/I198091727"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Rize Jin","raw_affiliation_strings":["School of Software ,  Tiangong University ,  Tianjin ,  300387 ,  China , tjpu.edu.cn"],"raw_orcid":"https://orcid.org/0000-0001-5537-0744","affiliations":[{"raw_affiliation_string":"School of Software ,  Tiangong University ,  Tianjin ,  300387 ,  China , tjpu.edu.cn","institution_ids":["https://openalex.org/I198091727"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5022686531"],"corresponding_institution_ids":["https://openalex.org/I198091727"],"apc_list":{"value":2550,"currency":"USD","value_usd":2550},"apc_paid":{"value":2550,"currency":"USD","value_usd":2550},"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.77123949,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"2025","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.6097000241279602,"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":0.6097000241279602,"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":0.0632999986410141,"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/T14347","display_name":"Big Data and Digital Economy","score":0.034299999475479126,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.6704000234603882},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.6270999908447266},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3970000147819519},{"id":"https://openalex.org/keywords/distribution","display_name":"Distribution (mathematics)","score":0.3359000086784363},{"id":"https://openalex.org/keywords/multidimensional-data","display_name":"Multidimensional data","score":0.3140999972820282}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8029000163078308},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.6704000234603882},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.6270999908447266},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5834000110626221},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5023999810218811},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3970000147819519},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.39500001072883606},{"id":"https://openalex.org/C110121322","wikidata":"https://www.wikidata.org/wiki/Q865811","display_name":"Distribution (mathematics)","level":2,"score":0.3359000086784363},{"id":"https://openalex.org/C3019022308","wikidata":"https://www.wikidata.org/wiki/Q1418353","display_name":"Multidimensional data","level":2,"score":0.3140999972820282},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.2897000014781952},{"id":"https://openalex.org/C3019722297","wikidata":"https://www.wikidata.org/wiki/Q4440864","display_name":"High dimensional","level":2,"score":0.2651999890804291},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.2515000104904175}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1155/cplx/1970131","is_oa":true,"landing_page_url":"https://doi.org/10.1155/cplx/1970131","pdf_url":"https://onlinelibrary.wiley.com/doi/pdfdirect/10.1155/cplx/1970131","source":{"id":"https://openalex.org/S207319443","display_name":"Complexity","issn_l":"1076-2787","issn":["1076-2787","1099-0526"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869","https://openalex.org/P4310320595"],"host_organization_lineage_names":["Hindawi Publishing Corporation","Wiley"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complexity","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1155/cplx/1970131","is_oa":true,"landing_page_url":"https://doi.org/10.1155/cplx/1970131","pdf_url":"https://onlinelibrary.wiley.com/doi/pdfdirect/10.1155/cplx/1970131","source":{"id":"https://openalex.org/S207319443","display_name":"Complexity","issn_l":"1076-2787","issn":["1076-2787","1099-0526"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869","https://openalex.org/P4310320595"],"host_organization_lineage_names":["Hindawi Publishing Corporation","Wiley"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complexity","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7117644299.pdf","grobid_xml":"https://content.openalex.org/works/W7117644299.grobid-xml"},"referenced_works_count":23,"referenced_works":["https://openalex.org/W1832693441","https://openalex.org/W2584009249","https://openalex.org/W2952370363","https://openalex.org/W2963073217","https://openalex.org/W2964110616","https://openalex.org/W2980708516","https://openalex.org/W3024449834","https://openalex.org/W3081392971","https://openalex.org/W3169849837","https://openalex.org/W3179812358","https://openalex.org/W4205511188","https://openalex.org/W4224287392","https://openalex.org/W4226112897","https://openalex.org/W4226418765","https://openalex.org/W4300036147","https://openalex.org/W4311594500","https://openalex.org/W4321512611","https://openalex.org/W4365802810","https://openalex.org/W4384499054","https://openalex.org/W4386158851","https://openalex.org/W4386763466","https://openalex.org/W4402401791","https://openalex.org/W4403938627"],"related_works":[],"abstract_inverted_index":{"Multiple":[0],"datasets":[1,18],"enable":[2],"a":[3,9,26],"deep":[4],"learning":[5],"model":[6],"to":[7,111],"achieve":[8],"wide":[10],"range":[11],"of":[12,17,40,66,77,89],"classifications,":[13],"while":[14,115],"the":[15,38,52,57,64,70,75,87,92,107,112],"diversity":[16],"reduces":[19],"classification":[20],"accuracy.":[21,99],"To":[22],"solve":[23],"this":[24,47],"problem,":[25],"method":[27,105],"based":[28],"on":[29,43,69,91],"multidimensional":[30],"information":[31],"is":[32,37,63,86],"proposed.":[33],"The":[34,60,83],"first":[35],"dimension":[36],"outputs":[39,65],"multiple":[41,67],"models":[42,68],"different":[44],"datasets.":[45],"Through":[46],"information,":[48],"we":[49],"can":[50,80],"predict":[51],"dataset":[53],"that":[54,103],"may":[55],"contain":[56],"testing":[58,78,94],"samples.":[59],"second":[61],"one":[62,85],"same":[71,93],"dataset,":[72],"through":[73],"which":[74,96],"labels":[76,90],"samples":[79],"be":[81],"classified.":[82],"third":[84],"distribution":[88],"sample,":[95],"further":[97],"increases":[98],"Experimental":[100],"results":[101],"show":[102],"our":[104],"achieves":[106],"best":[108],"performance":[109],"compared":[110],"existing":[113],"methods":[114],"ensuring":[116],"good":[117],"scalability.":[118]},"counts_by_year":[],"updated_date":"2026-08-15T07:11:24.734988","created_date":"2025-12-31T00:00:00"}
