{"id":"https://openalex.org/W4281696987","doi":"https://doi.org/10.26599/bdma.2022.9020008","title":"$p$-Norm Broad Learning for Negative Emotion Classification in Social Networks","display_name":"$p$-Norm Broad Learning for Negative Emotion Classification in Social Networks","publication_year":2022,"publication_date":"2022-06-09","ids":{"openalex":"https://openalex.org/W4281696987","doi":"https://doi.org/10.26599/bdma.2022.9020008"},"language":"en","primary_location":{"id":"doi:10.26599/bdma.2022.9020008","is_oa":true,"landing_page_url":"https://doi.org/10.26599/bdma.2022.9020008","pdf_url":"https://ieeexplore.ieee.org/ielx7/8254253/9793354/09793355.pdf","source":{"id":"https://openalex.org/S4210209060","display_name":"Big Data Mining and Analytics","issn_l":"2096-0654","issn":["2096-0654","2097-406X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310311901","host_organization_name":"Tsinghua University Press","host_organization_lineage":["https://openalex.org/P4310311901"],"host_organization_lineage_names":["Tsinghua University Press"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Big Data Mining and Analytics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://ieeexplore.ieee.org/ielx7/8254253/9793354/09793355.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5015168873","display_name":"Guanghao Chen","orcid":"https://orcid.org/0000-0002-1353-8585"},"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":"Guanghao Chen","raw_affiliation_strings":["Laboratory of Language Engineering and Computing, Guangdong University of Foreign Studies,Guangzhou,China,510006"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Laboratory of Language Engineering and Computing, Guangdong University of Foreign Studies,Guangzhou,China,510006","institution_ids":["https://openalex.org/I186272606"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043665482","display_name":"Sancheng Peng","orcid":"https://orcid.org/0000-0002-0865-3570"},"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":"Sancheng Peng","raw_affiliation_strings":["Laboratory of Language Engineering and Computing, Guangdong University of Foreign Studies,Guangzhou,China,510006"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Laboratory of Language Engineering and Computing, Guangdong University of Foreign Studies,Guangzhou,China,510006","institution_ids":["https://openalex.org/I186272606"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101853864","display_name":"Rong Zeng","orcid":"https://orcid.org/0000-0003-3835-5467"},"institutions":[{"id":"https://openalex.org/I187400657","display_name":"South China Normal University","ror":"https://ror.org/01kq0pv72","country_code":"CN","type":"education","lineage":["https://openalex.org/I187400657"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rong Zeng","raw_affiliation_strings":["Guangdong Provincial Key Laboratory of Nanophotonic Functional Materials and Devices, South China Normal University,Guangzhou,China,511400"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guangdong Provincial Key Laboratory of Nanophotonic Functional Materials and Devices, South China Normal University,Guangzhou,China,511400","institution_ids":["https://openalex.org/I187400657"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052623047","display_name":"Zhongwang Hu","orcid":null},"institutions":[{"id":"https://openalex.org/I183816158","display_name":"Zhaoqing University","ror":"https://ror.org/025n5kj18","country_code":"CN","type":"education","lineage":["https://openalex.org/I183816158"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhongwang Hu","raw_affiliation_strings":["School of Computer Science and Software, Zhaoqing University,Zhaoqing,China,526000"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Software, Zhaoqing University,Zhaoqing,China,526000","institution_ids":["https://openalex.org/I183816158"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101607358","display_name":"Lihong Cao","orcid":"https://orcid.org/0000-0002-3866-2734"},"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":"Lihong Cao","raw_affiliation_strings":["Laboratory of Language Engineering and Computing, Guangdong University of Foreign Studies,Guangzhou,China,510006"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Laboratory of Language Engineering and Computing, Guangdong University of Foreign Studies,Guangzhou,China,510006","institution_ids":["https://openalex.org/I186272606"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115076610","display_name":"Yongmei Zhou","orcid":"https://orcid.org/0000-0003-2661-3078"},"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":"Yongmei Zhou","raw_affiliation_strings":["School of Information Science and Technology, Guangdong University of Foreign Studies,Guangzhou,China,510006"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Guangdong University of Foreign Studies,Guangzhou,China,510006","institution_ids":["https://openalex.org/I186272606"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030630228","display_name":"Zhouhao Ouyang","orcid":null},"institutions":[{"id":"https://openalex.org/I130828816","display_name":"University of Leeds","ror":"https://ror.org/024mrxd33","country_code":"GB","type":"education","lineage":["https://openalex.org/I130828816"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Zhouhao Ouyang","raw_affiliation_strings":["School of Computing, University of Leeds,Leeds,United Kingdom,LS2 9JT"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computing, University of Leeds,Leeds,United Kingdom,LS2 9JT","institution_ids":["https://openalex.org/I130828816"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071062389","display_name":"Xiangyu Nie","orcid":"https://orcid.org/0009-0001-5095-6401"},"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":"Xiangyu Nie","raw_affiliation_strings":["School of Information Science and Technology, Guangdong University of Foreign Studies,Guangzhou,China,510006"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Guangdong University of Foreign Studies,Guangzhou,China,510006","institution_ids":["https://openalex.org/I186272606"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.4433,"has_fulltext":true,"cited_by_count":12,"citation_normalized_percentile":{"value":0.8427267,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"5","issue":"3","first_page":"245","last_page":"256"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9998999834060669,"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9998999834060669,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9986000061035156,"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":0.9941999912261963,"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/classifier","display_name":"Classifier (UML)","score":0.6514787077903748},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6418361663818359},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5277180075645447},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.5257557034492493},{"id":"https://openalex.org/keywords/hyperparameter","display_name":"Hyperparameter","score":0.5156782865524292},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.45051896572113037},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3615204095840454}],"concepts":[{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6514787077903748},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6418361663818359},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5277180075645447},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.5257557034492493},{"id":"https://openalex.org/C8642999","wikidata":"https://www.wikidata.org/wiki/Q4171168","display_name":"Hyperparameter","level":2,"score":0.5156782865524292},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.45051896572113037},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3615204095840454}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.26599/bdma.2022.9020008","is_oa":true,"landing_page_url":"https://doi.org/10.26599/bdma.2022.9020008","pdf_url":"https://ieeexplore.ieee.org/ielx7/8254253/9793354/09793355.pdf","source":{"id":"https://openalex.org/S4210209060","display_name":"Big Data Mining and Analytics","issn_l":"2096-0654","issn":["2096-0654","2097-406X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310311901","host_organization_name":"Tsinghua University Press","host_organization_lineage":["https://openalex.org/P4310311901"],"host_organization_lineage_names":["Tsinghua University Press"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Big Data Mining and Analytics","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:7738573bcd0a4c4184931530c7538dc3","is_oa":true,"landing_page_url":"https://doaj.org/article/7738573bcd0a4c4184931530c7538dc3","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Big Data Mining and Analytics, Vol 5, Iss 3, Pp 245-256 (2022)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.26599/bdma.2022.9020008","is_oa":true,"landing_page_url":"https://doi.org/10.26599/bdma.2022.9020008","pdf_url":"https://ieeexplore.ieee.org/ielx7/8254253/9793354/09793355.pdf","source":{"id":"https://openalex.org/S4210209060","display_name":"Big Data Mining and Analytics","issn_l":"2096-0654","issn":["2096-0654","2097-406X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310311901","host_organization_name":"Tsinghua University Press","host_organization_lineage":["https://openalex.org/P4310311901"],"host_organization_lineage_names":["Tsinghua University Press"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Big Data Mining and Analytics","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.8199999928474426,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[{"id":"https://openalex.org/G6986403295","display_name":null,"funder_award_id":"61876205","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4281696987.pdf","grobid_xml":"https://content.openalex.org/works/W4281696987.grobid-xml"},"referenced_works_count":57,"referenced_works":["https://openalex.org/W100623710","https://openalex.org/W1832693441","https://openalex.org/W1919685567","https://openalex.org/W2029634950","https://openalex.org/W2032861905","https://openalex.org/W2103158338","https://openalex.org/W2131774270","https://openalex.org/W2138963285","https://openalex.org/W2517194566","https://openalex.org/W2546268226","https://openalex.org/W2730034540","https://openalex.org/W2736925876","https://openalex.org/W2738226240","https://openalex.org/W2903468529","https://openalex.org/W2929127016","https://openalex.org/W2962784628","https://openalex.org/W2965373594","https://openalex.org/W2965453734","https://openalex.org/W2965919674","https://openalex.org/W2966434009","https://openalex.org/W2971759456","https://openalex.org/W2985882473","https://openalex.org/W2990201147","https://openalex.org/W3009120439","https://openalex.org/W3014803340","https://openalex.org/W3017092032","https://openalex.org/W3018062911","https://openalex.org/W3020608179","https://openalex.org/W3020869967","https://openalex.org/W3021636956","https://openalex.org/W3041074053","https://openalex.org/W3100754052","https://openalex.org/W3102725307","https://openalex.org/W3106206515","https://openalex.org/W3108053017","https://openalex.org/W3111637054","https://openalex.org/W3133713261","https://openalex.org/W3134880927","https://openalex.org/W3135009702","https://openalex.org/W3154414470","https://openalex.org/W3162285422","https://openalex.org/W3162911445","https://openalex.org/W3165405064","https://openalex.org/W3169183224","https://openalex.org/W3171477298","https://openalex.org/W3175552668","https://openalex.org/W3194150877","https://openalex.org/W3197114051","https://openalex.org/W3205377756","https://openalex.org/W3210570856","https://openalex.org/W3217374538","https://openalex.org/W4221099423","https://openalex.org/W4297985140","https://openalex.org/W4385245566","https://openalex.org/W6636510571","https://openalex.org/W6726873649","https://openalex.org/W6763745640"],"related_works":["https://openalex.org/W2140186469","https://openalex.org/W4390421286","https://openalex.org/W4280563792","https://openalex.org/W2602382373","https://openalex.org/W3198113463","https://openalex.org/W4285827128","https://openalex.org/W2787698406","https://openalex.org/W2963844355","https://openalex.org/W4361251046","https://openalex.org/W98577079"],"abstract_inverted_index":{"Negative":[0],"emotion":[1,10,48,92],"classification":[2,7,49],"refers":[3],"to":[4,84,87,100,117,154],"the":[5,82,88,97,129,161,174,187,191,200,204],"automatic":[6],"of":[8,11,90,103,126,164,176],"negative":[9,47,91,124],"texts":[12,105,127],"in":[13,39,76,169],"social":[14],"networks.":[15],"Most":[16],"existing":[17],"methods":[18,202],"are":[19,72],"based":[20],"on":[21,186,203],"deep":[22,133],"learning":[23,134],"models,":[24,135],"facing":[25],"challenges":[26],"such":[27,142],"as":[28,143],"complex":[29],"structures":[30],"and":[31,58,106,121,151,167,190],"too":[32],"many":[33],"hyperparameters.":[34],"To":[35],"meet":[36],"these":[37],"challenges,":[38],"this":[40,77],"paper,":[41],"we":[42,80,95,111,182],"propose":[43],"a":[44,51,119,144],"method":[45,198],"for":[46],"utilizing":[50],"Robustly":[52],"Optimized":[53],"BERT":[54],"Pretraining":[55],"Approach":[56],"(RoBERTa)":[57],"<tex":[59,66,113,136,177],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[60,67,114,137,178],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">$p$</tex>":[61,68,115,138,179],"-norm":[62],"Broad":[63],"Learning":[64],"(":[65],"-BL).":[69],"Specifically,":[70],"there":[71],"mainly":[73],"three":[74],"contributions":[75],"paper.":[78],"Firstly,":[79],"fine-tune":[81],"RoBERTa":[83,99],"adapt":[85],"it":[86,158],"task":[89],"classification.":[93],"Then,":[94],"employ":[96],"fine-tuned":[98],"extract":[101],"features":[102],"original":[104],"generate":[107],"sentence":[108],"vectors.":[109],"Secondly,":[110],"adopt":[112],"-BL":[116,139],"construct":[118],"classifier":[120],"then":[122],"predict":[123],"emotions":[125],"using":[128],"classifier.":[130],"Compared":[131],"with":[132],"has":[140],"advantages":[141],"simple":[145],"structure":[146],"that":[147,195],"is":[148],"only":[149],"3-layer":[150],"fewer":[152],"parameters":[153],"be":[155],"trained.":[156],"Moreover,":[157],"can":[159],"suppress":[160],"adverse":[162],"effects":[163],"more":[165],"outliers":[166],"noise":[168],"data":[170],"by":[171],"flexibly":[172],"changing":[173],"value":[175],".":[180],"Thirdly,":[181],"conduct":[183],"extensive":[184],"experiments":[185],"public":[188],"datasets,":[189],"experimental":[192],"results":[193],"show":[194],"our":[196],"proposed":[197],"outperforms":[199],"baseline":[201],"tested":[205],"datasets.":[206]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}