{"id":"https://openalex.org/W4399174824","doi":"https://doi.org/10.1145/3660043.3660071","title":"Multi-level Teaching Text Classification based on the Fusion of Deep Learning Models","display_name":"Multi-level Teaching Text Classification based on the Fusion of Deep Learning Models","publication_year":2023,"publication_date":"2023-12-22","ids":{"openalex":"https://openalex.org/W4399174824","doi":"https://doi.org/10.1145/3660043.3660071"},"language":"en","primary_location":{"id":"doi:10.1145/3660043.3660071","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3660043.3660071","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 International Conference on Information Education and Artificial 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/A5015867638","display_name":"Guanghao Jin","orcid":"https://orcid.org/0000-0003-2116-4410"},"institutions":[{"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":true,"raw_author_name":"Guanghao Jin","raw_affiliation_strings":["School of Artificial Intelligence, Beijing Polytechnic, China"],"raw_orcid":"https://orcid.org/0000-0003-2116-4410","affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Beijing Polytechnic, China","institution_ids":["https://openalex.org/I4210152042"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016739198","display_name":"Junhua Zhao","orcid":"https://orcid.org/0009-0006-9251-6216"},"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":"Junhua Zhao","raw_affiliation_strings":["School of Computer Science and Technology, Tiangong University, China"],"raw_orcid":"https://orcid.org/0009-0006-9251-6216","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Tiangong University, China","institution_ids":["https://openalex.org/I198091727"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113233902","display_name":"Yuqing Wang","orcid":"https://orcid.org/0009-0002-3595-5811"},"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":"Yuqing Wang","raw_affiliation_strings":["School of Computer Science and Technology, Tiangong University, China"],"raw_orcid":"https://orcid.org/0009-0002-3595-5811","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Tiangong University, China","institution_ids":["https://openalex.org/I198091727"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100731350","display_name":"Jieying Wang","orcid":"https://orcid.org/0009-0000-7650-9768"},"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":"Jieying Wang","raw_affiliation_strings":["School of Computer Science and Technology, Tiangong University, China"],"raw_orcid":"https://orcid.org/0009-0000-7650-9768","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Tiangong University, China","institution_ids":["https://openalex.org/I198091727"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103063791","display_name":"Hui Du","orcid":"https://orcid.org/0009-0005-8996-597X"},"institutions":[{"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, China"],"raw_orcid":"https://orcid.org/0009-0005-8996-597X","affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Beijing Polytechnic, China","institution_ids":["https://openalex.org/I4210152042"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020075105","display_name":"Qingzeng Song","orcid":"https://orcid.org/0000-0002-5406-294X"},"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":"Qingzeng Song","raw_affiliation_strings":["School of Computer Science and Technology, Tiangong University, China"],"raw_orcid":"https://orcid.org/0000-0002-5406-294X","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Tiangong University, China","institution_ids":["https://openalex.org/I198091727"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5015867638"],"corresponding_institution_ids":["https://openalex.org/I4210152042"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.22686952,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"155","last_page":"159"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.9958000183105469,"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":0.9958000183105469,"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":0.9853000044822693,"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":0.9724000096321106,"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/computer-science","display_name":"Computer science","score":0.7877388000488281},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6942354440689087},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.6219044923782349},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.6072813272476196},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5939216613769531},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5520579218864441},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.48750731348991394},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.46483704447746277},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.40852653980255127}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7877388000488281},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6942354440689087},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.6219044923782349},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.6072813272476196},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5939216613769531},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5520579218864441},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.48750731348991394},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.46483704447746277},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.40852653980255127},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3660043.3660071","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3660043.3660071","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 International Conference on Information Education and Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.75}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W2964437981","https://openalex.org/W3214024980","https://openalex.org/W4205511188","https://openalex.org/W4214583587","https://openalex.org/W4224287392","https://openalex.org/W4226112897","https://openalex.org/W4226226643","https://openalex.org/W4286340192","https://openalex.org/W4300036147","https://openalex.org/W4319777679","https://openalex.org/W4321843649","https://openalex.org/W4362564853","https://openalex.org/W4380605292","https://openalex.org/W4384499054","https://openalex.org/W4387163709"],"related_works":["https://openalex.org/W2366107444","https://openalex.org/W4388145910","https://openalex.org/W2381570729","https://openalex.org/W1976205134","https://openalex.org/W4248336175","https://openalex.org/W2031260042","https://openalex.org/W2391445434","https://openalex.org/W3009369890","https://openalex.org/W4312490297","https://openalex.org/W4380075502"],"abstract_inverted_index":{"Deep":[0],"learning":[1,64],"is":[2,91],"widely":[3],"used":[4],"in":[5],"text":[6,16,43,82],"classification,":[7],"which":[8],"can":[9,123],"be":[10],"help":[11],"the":[12,22,25,30,33,52,55,62,88,99,109,113,117,128],"collection":[13],"of":[14,27,32,54,78,102],"teaching":[15],"samples":[17],"from":[18],"multiple":[19,48],"datasets.":[20,69],"On":[21,80],"other":[23],"side,":[24],"variety":[26],"texts":[28],"causes":[29],"difficulty":[31],"classification.":[34,56],"To":[35],"solve":[36],"this":[37,96],"problem,":[38],"we":[39,60,71,84,94,106],"design":[40],"a":[41,81],"multi-level":[42,76],"classification":[44,90],"system":[45,110],"that":[46],"fuses":[47],"models":[49,65],"to":[50,74,98],"increase":[51],"accuracy":[53,126],"In":[57],"more":[58],"details,":[59],"train":[61],"deep":[63],"on":[66,112],"some":[67],"public":[68],"Then,":[70,93],"organize":[72],"these":[73],"construct":[75],"sets":[77],"models.":[79],"sample,":[83],"firstly":[85],"detect":[86],"if":[87],"dataset":[89],"needed.":[92],"send":[95],"sample":[97],"proper":[100],"level":[101],"model":[103],"set.":[104],"Finally,":[105],"continuously":[107],"optimize":[108],"based":[111],"collected":[114],"samples.":[115],"As":[116],"experimental":[118],"results":[119],"show,":[120],"our":[121],"method":[122],"achieve":[124],"higher":[125],"than":[127],"existing":[129],"ones.":[130]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
