{"id":"https://openalex.org/W4416930096","doi":"https://doi.org/10.1007/s10489-025-07010-2","title":"Granular-ball representation-based two-stage deep learning model for text classification","display_name":"Granular-ball representation-based two-stage deep learning model for text classification","publication_year":2025,"publication_date":"2025-12-01","ids":{"openalex":"https://openalex.org/W4416930096","doi":"https://doi.org/10.1007/s10489-025-07010-2"},"language":"en","primary_location":{"id":"doi:10.1007/s10489-025-07010-2","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s10489-025-07010-2","pdf_url":null,"source":{"id":"https://openalex.org/S74726891","display_name":"Applied Intelligence","issn_l":"0924-669X","issn":["0924-669X","1573-7497"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Intelligence","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/A5101678567","display_name":"Wenbin Qian","orcid":"https://orcid.org/0000-0003-4108-9737"},"institutions":[{"id":"https://openalex.org/I74837319","display_name":"Jiangxi Agricultural University","ror":"https://ror.org/00dc7s858","country_code":"CN","type":"education","lineage":["https://openalex.org/I74837319"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wenbin Qian","raw_affiliation_strings":["School of Software, Jiangxi Agricultural University, Nanchang, 330045, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Software, Jiangxi Agricultural University, Nanchang, 330045, China","institution_ids":["https://openalex.org/I74837319"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100389169","display_name":"Ying He","orcid":"https://orcid.org/0000-0002-6749-4485"},"institutions":[{"id":"https://openalex.org/I74837319","display_name":"Jiangxi Agricultural University","ror":"https://ror.org/00dc7s858","country_code":"CN","type":"education","lineage":["https://openalex.org/I74837319"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ying He","raw_affiliation_strings":["School of Software, Jiangxi Agricultural University, Nanchang, 330045, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Software, Jiangxi Agricultural University, Nanchang, 330045, China","institution_ids":["https://openalex.org/I74837319"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042100325","display_name":"Xingxing Cai","orcid":"https://orcid.org/0000-0003-3673-9248"},"institutions":[{"id":"https://openalex.org/I74837319","display_name":"Jiangxi Agricultural University","ror":"https://ror.org/00dc7s858","country_code":"CN","type":"education","lineage":["https://openalex.org/I74837319"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xingxing Cai","raw_affiliation_strings":["School of Software, Jiangxi Agricultural University, Nanchang, 330045, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Software, Jiangxi Agricultural University, Nanchang, 330045, China","institution_ids":["https://openalex.org/I74837319"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060244859","display_name":"Jintao Huang","orcid":"https://orcid.org/0000-0002-2605-7297"},"institutions":[{"id":"https://openalex.org/I141568987","display_name":"Hong Kong Baptist University","ror":"https://ror.org/0145fw131","country_code":"HK","type":"education","lineage":["https://openalex.org/I141568987"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Jintao Huang","raw_affiliation_strings":["Department of Computer Science, Hong Kong Baptist University, Hong Kong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Hong Kong Baptist University, Hong Kong, China","institution_ids":["https://openalex.org/I141568987"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5101678567"],"corresponding_institution_ids":["https://openalex.org/I74837319"],"apc_list":{"value":2990,"currency":"USD","value_usd":2990},"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.13645294,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"55","issue":"18","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":0.7660999894142151,"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":0.7660999894142151,"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":0.1128000020980835,"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.04259999841451645,"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/deep-learning","display_name":"Deep learning","score":0.5493999719619751},{"id":"https://openalex.org/keywords/pooling","display_name":"Pooling","score":0.5192999839782715},{"id":"https://openalex.org/keywords/word-embedding","display_name":"Word embedding","score":0.4674000144004822},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.4521999955177307},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.4323999881744385},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.3898000121116638},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.38760000467300415},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.3544999957084656}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8981000185012817},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6963000297546387},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6148999929428101},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5493999719619751},{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.5192999839782715},{"id":"https://openalex.org/C2777462759","wikidata":"https://www.wikidata.org/wiki/Q18395344","display_name":"Word embedding","level":3,"score":0.4674000144004822},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.4521999955177307},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.4323999881744385},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.3898000121116638},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.38760000467300415},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.3544999957084656},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.319599986076355},{"id":"https://openalex.org/C2780233690","wikidata":"https://www.wikidata.org/wiki/Q535347","display_name":"Transparency (behavior)","level":2,"score":0.31610000133514404},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.31040000915527344},{"id":"https://openalex.org/C2779500292","wikidata":"https://www.wikidata.org/wiki/Q14802672","display_name":"Text processing","level":2,"score":0.30469998717308044},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.302700012922287},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3009999990463257},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.296999990940094},{"id":"https://openalex.org/C44291984","wikidata":"https://www.wikidata.org/wiki/Q1074173","display_name":"Question answering","level":2,"score":0.2858000099658966},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.2833000123500824},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.2624000012874603},{"id":"https://openalex.org/C774472","wikidata":"https://www.wikidata.org/wiki/Q6760393","display_name":"Margin (machine learning)","level":2,"score":0.2590000033378601},{"id":"https://openalex.org/C2474386","wikidata":"https://www.wikidata.org/wiki/Q461183","display_name":"Text corpus","level":2,"score":0.25850000977516174},{"id":"https://openalex.org/C45493050","wikidata":"https://www.wikidata.org/wiki/Q7884934","display_name":"Unified Model","level":2,"score":0.25699999928474426}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s10489-025-07010-2","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s10489-025-07010-2","pdf_url":null,"source":{"id":"https://openalex.org/S74726891","display_name":"Applied Intelligence","issn_l":"0924-669X","issn":["0924-669X","1573-7497"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2205874100","display_name":null,"funder_award_id":"62366019","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3773033885","display_name":"\u9762\u5411\u6807\u8bb0\u5206\u5e03\u6570\u636e\u7684\u7c92\u8ba1\u7b97\u6a21\u578b\u4e0e\u77e5\u8bc6\u53d1\u73b0\u7814\u7a76","funder_award_id":"61966016","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3819256303","display_name":null,"funder_award_id":"20224BAB202020","funder_id":"https://openalex.org/F4320322665","funder_display_name":"Natural Science Foundation of Jiangxi Province"},{"id":"https://openalex.org/G7167985500","display_name":null,"funder_award_id":"20242BAB23014","funder_id":"https://openalex.org/F4320322665","funder_display_name":"Natural Science Foundation of Jiangxi Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322665","display_name":"Natural Science Foundation of Jiangxi Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W2583394995","https://openalex.org/W3009157386","https://openalex.org/W3090612586","https://openalex.org/W3092288641","https://openalex.org/W3097300053","https://openalex.org/W3111099392","https://openalex.org/W3124640783","https://openalex.org/W3128465392","https://openalex.org/W3129207397","https://openalex.org/W3132467470","https://openalex.org/W3180181113","https://openalex.org/W3196105425","https://openalex.org/W3210735217","https://openalex.org/W3210828003","https://openalex.org/W3213097325","https://openalex.org/W4206256100","https://openalex.org/W4206590831","https://openalex.org/W4224254503","https://openalex.org/W4289313402","https://openalex.org/W4291109321","https://openalex.org/W4292212771","https://openalex.org/W4304698333","https://openalex.org/W4306711421","https://openalex.org/W4308582533","https://openalex.org/W4322576590","https://openalex.org/W4362471447","https://openalex.org/W4362675542","https://openalex.org/W4367298114","https://openalex.org/W4383568142","https://openalex.org/W4386826606","https://openalex.org/W4390234684","https://openalex.org/W4390816234","https://openalex.org/W4392188317","https://openalex.org/W4399284241","https://openalex.org/W4399423049","https://openalex.org/W4399435638","https://openalex.org/W4400229240","https://openalex.org/W4400261301","https://openalex.org/W4401413436","https://openalex.org/W4401503257","https://openalex.org/W4403647781","https://openalex.org/W4404901922","https://openalex.org/W4407373676","https://openalex.org/W4410226428"],"related_works":[],"abstract_inverted_index":null,"counts_by_year":[],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2025-12-03T00:00:00"}