{"id":"https://openalex.org/W4313028924","doi":"https://doi.org/10.1109/access.2022.3228600","title":"CNO-LSTM: A Chaotic Neural Oscillatory Long Short-Term Memory Model for Text Classification","display_name":"CNO-LSTM: A Chaotic Neural Oscillatory Long Short-Term Memory Model for Text Classification","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4313028924","doi":"https://doi.org/10.1109/access.2022.3228600"},"language":"en","primary_location":{"id":"doi:10.1109/access.2022.3228600","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3228600","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09982464.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09982464.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5024064458","display_name":"Nuobei Shi","orcid":"https://orcid.org/0000-0003-4849-6570"},"institutions":[{"id":"https://openalex.org/I12615008","display_name":"Beijing Normal-Hong Kong Baptist University","ror":"https://ror.org/04snvc712","country_code":"CN","type":"education","lineage":["https://openalex.org/I12615008"]},{"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"]},{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN","HK"],"is_corresponding":false,"raw_author_name":"Nuobei Shi","raw_affiliation_strings":["Faculty of Science and Technology, Beijing Normal University&#x2013;Hong Kong Baptist University United International College, Zhuhai, China"],"raw_orcid":"https://orcid.org/0000-0003-4849-6570","affiliations":[{"raw_affiliation_string":"Faculty of Science and Technology, Beijing Normal University&#x2013;Hong Kong Baptist University United International College, Zhuhai, China","institution_ids":["https://openalex.org/I12615008","https://openalex.org/I141568987","https://openalex.org/I25254941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102822108","display_name":"Zhuohui Chen","orcid":"https://orcid.org/0000-0001-9213-2673"},"institutions":[{"id":"https://openalex.org/I111950717","display_name":"Macau University of Science and Technology","ror":"https://ror.org/03jqs2n27","country_code":"MO","type":"education","lineage":["https://openalex.org/I111950717","https://openalex.org/I4391767947"]}],"countries":["MO"],"is_corresponding":false,"raw_author_name":"Zhuohui Chen","raw_affiliation_strings":["Faculty of Innovation Engineering, Macau University of Science and Technology, Taipa, Macau, China"],"raw_orcid":"https://orcid.org/0000-0001-9213-2673","affiliations":[{"raw_affiliation_string":"Faculty of Innovation Engineering, Macau University of Science and Technology, Taipa, Macau, China","institution_ids":["https://openalex.org/I111950717"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022046569","display_name":"Ling Chen","orcid":"https://orcid.org/0000-0002-0469-2599"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]},{"id":"https://openalex.org/I4210165204","display_name":"Zhuhai Institute of Advanced Technology","ror":"https://ror.org/05r1mzq61","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210145761","https://openalex.org/I4210165204"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ling Chen","raw_affiliation_strings":["School of Applied Science and Civil Engineering, Beijing Institute of Technology Zhuhai, Zhuhai, China","School of Applied Science and Civil Engineering, Beijing Institute of Technology, Zhuhai, Zhuhai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Applied Science and Civil Engineering, Beijing Institute of Technology Zhuhai, Zhuhai, China","institution_ids":["https://openalex.org/I4210165204"]},{"raw_affiliation_string":"School of Applied Science and Civil Engineering, Beijing Institute of Technology, Zhuhai, Zhuhai, China","institution_ids":["https://openalex.org/I125839683","https://openalex.org/I4210165204"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077859957","display_name":"Raymond Lee","orcid":"https://orcid.org/0000-0002-2487-1914"},"institutions":[{"id":"https://openalex.org/I12615008","display_name":"Beijing Normal-Hong Kong Baptist University","ror":"https://ror.org/04snvc712","country_code":"CN","type":"education","lineage":["https://openalex.org/I12615008"]},{"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"]},{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN","HK"],"is_corresponding":false,"raw_author_name":"Raymond S. T. Lee","raw_affiliation_strings":["Faculty of Science and Technology, Beijing Normal University&#x2013;Hong Kong Baptist University United International College, Zhuhai, China"],"raw_orcid":"https://orcid.org/0000-0002-2487-1914","affiliations":[{"raw_affiliation_string":"Faculty of Science and Technology, Beijing Normal University&#x2013;Hong Kong Baptist University United International College, Zhuhai, China","institution_ids":["https://openalex.org/I12615008","https://openalex.org/I141568987","https://openalex.org/I25254941"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":1.5372,"has_fulltext":true,"cited_by_count":13,"citation_normalized_percentile":{"value":0.85487251,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":98},"biblio":{"volume":"10","issue":null,"first_page":"129564","last_page":"129579"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9988999962806702,"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/T10028","display_name":"Topic Modeling","score":0.9988999962806702,"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/T10320","display_name":"Neural Networks and Applications","score":0.9930999875068665,"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":0.9923999905586243,"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":0.8366813659667969},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6412817239761353},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5365137457847595},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.5320239067077637},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.5216537117958069},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.43213361501693726},{"id":"https://openalex.org/keywords/recall","display_name":"Recall","score":0.4180905222892761},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3942622244358063},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.37358611822128296},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3480076193809509}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8366813659667969},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6412817239761353},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5365137457847595},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.5320239067077637},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.5216537117958069},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.43213361501693726},{"id":"https://openalex.org/C100660578","wikidata":"https://www.wikidata.org/wiki/Q18733","display_name":"Recall","level":2,"score":0.4180905222892761},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3942622244358063},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.37358611822128296},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3480076193809509},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2022.3228600","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3228600","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09982464.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:8dbd181cc9874ff484bba51d0f1843f7","is_oa":true,"landing_page_url":"https://doaj.org/article/8dbd181cc9874ff484bba51d0f1843f7","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":"IEEE Access, Vol 10, Pp 129564-129579 (2022)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2022.3228600","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3228600","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09982464.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.7099999785423279,"display_name":"Quality Education"}],"awards":[{"id":"https://openalex.org/G4803278336","display_name":null,"funder_award_id":"R202008","funder_id":"https://openalex.org/F4320321432","funder_display_name":"Beijing Normal University"},{"id":"https://openalex.org/G5798528238","display_name":null,"funder_award_id":"GDKTP2021031000","funder_id":"https://openalex.org/F4320324202","funder_display_name":"Guangdong Science and Technology Department"}],"funders":[{"id":"https://openalex.org/F4320321432","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35"},{"id":"https://openalex.org/F4320324202","display_name":"Guangdong Science and Technology Department","ror":"https://ror.org/00tjzgn92"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4313028924.pdf","grobid_xml":"https://content.openalex.org/works/W4313028924.grobid-xml"},"referenced_works_count":59,"referenced_works":["https://openalex.org/W1689711448","https://openalex.org/W1832693441","https://openalex.org/W1879966306","https://openalex.org/W2064675550","https://openalex.org/W2068304817","https://openalex.org/W2075107872","https://openalex.org/W2076998221","https://openalex.org/W2120381566","https://openalex.org/W2123745704","https://openalex.org/W2171414866","https://openalex.org/W2251189452","https://openalex.org/W2254361154","https://openalex.org/W2265289447","https://openalex.org/W2797994872","https://openalex.org/W2942720718","https://openalex.org/W2944851425","https://openalex.org/W2963355447","https://openalex.org/W2963929227","https://openalex.org/W2972715831","https://openalex.org/W2982946322","https://openalex.org/W2998704965","https://openalex.org/W3007551217","https://openalex.org/W3081405751","https://openalex.org/W3094244190","https://openalex.org/W3126595748","https://openalex.org/W3129631327","https://openalex.org/W3129702347","https://openalex.org/W3130747775","https://openalex.org/W3147805483","https://openalex.org/W3156333129","https://openalex.org/W3164039772","https://openalex.org/W3174187537","https://openalex.org/W3177080499","https://openalex.org/W3178906036","https://openalex.org/W3184599456","https://openalex.org/W3201908633","https://openalex.org/W3204647170","https://openalex.org/W4200591324","https://openalex.org/W4205973286","https://openalex.org/W4210729052","https://openalex.org/W4213103469","https://openalex.org/W4213430631","https://openalex.org/W4213445806","https://openalex.org/W4214492748","https://openalex.org/W4226112897","https://openalex.org/W4226139798","https://openalex.org/W4226150137","https://openalex.org/W4285065830","https://openalex.org/W4289912996","https://openalex.org/W4290989953","https://openalex.org/W4292348150","https://openalex.org/W4292387297","https://openalex.org/W4294170691","https://openalex.org/W6639301165","https://openalex.org/W6677647577","https://openalex.org/W6680532216","https://openalex.org/W6682691769","https://openalex.org/W6691661685","https://openalex.org/W6792738676"],"related_works":["https://openalex.org/W4225394202","https://openalex.org/W4298287631","https://openalex.org/W2953061907","https://openalex.org/W1847088711","https://openalex.org/W3036642985","https://openalex.org/W3032952384","https://openalex.org/W3017902212","https://openalex.org/W2964335273","https://openalex.org/W2495256954","https://openalex.org/W2259317772"],"abstract_inverted_index":{"Long":[0],"Short-Term":[1],"Memory":[2,83],"(LSTM)":[3],"networks":[4],"are":[5,91,132,166,185],"unique":[6],"to":[7,32,42,98,134,232],"exercise":[8],"data":[9,48],"in":[10,69,87,93,158,170,214],"its":[11],"memory":[12,16,89],"cell":[13],"with":[14,71,136,205,218],"long-term":[15],"as":[17,78,176],"Natural":[18],"Language":[19],"Processing":[20],"(NLP)":[21],"tasks":[22,165],"have":[23],"inklings":[24],"of":[25,47,65,103,121,148,162,172,195],"intensive":[26],"time":[27,186,200,215],"and":[28,44,106,129,154,180,188,201],"computational":[29,101],"power":[30],"due":[31],"their":[33],"complex":[34],"structures":[35],"like":[36],"magnitude":[37],"language":[38,104],"model":[39,59,105,152,220,226],"Transformer":[40],"required":[41],"pre-train":[43],"learn":[45],"billions":[46],"performing":[49],"different":[50,160],"NLP":[51,141],"tasks.":[52,142],"In":[53],"this":[54],"paper,":[55],"a":[56,150],"dynamic":[57,73],"chaotic":[58],"is":[60],"proposed":[61],"for":[62,111],"the":[63,115,146,196,225],"objective":[64],"transforming":[66],"neurons":[67,86,97,156],"states":[68],"network":[70],"neural":[72],"characteristics":[74],"by":[75,95],"restructuring":[76],"LSTM":[77,88,207],"Chaotic":[79],"Neural":[80],"Oscillatory-Long-Short":[81],"Term":[82],"(CNO-LSTM),":[84],"where":[85],"cells":[90],"weighed":[92],"substitutes":[94],"oscillatory":[96,155,222],"speed":[99],"up":[100],"training":[102,199,234],"improve":[107,233],"text":[108,123,163],"classification":[109,124,128,131,164],"accuracy":[110,203],"real-world":[112],"applications.":[113],"From":[114],"implementation":[116],"perspective,":[117],"five":[118],"popular":[119],"datasets":[120],"general":[122],"including":[125],"binary,":[126],"multi":[127],"multi-label":[130],"used":[133],"compare":[135],"mainstream":[137],"baseline":[138,168],"models":[139,169],"on":[140],"Results":[143],"showed":[144],"that":[145,224],"performance":[147],"CNO-LSTM,":[149],"simplified":[151],"structure":[153],"state":[157],"exercising":[159],"types":[161],"above":[167],"terms":[171],"evaluation":[173],"index":[174],"such":[175],"Accuracy,":[177],"Precision,":[178],"Recall":[179],"F1.":[181],"The":[182],"main":[183],"contributions":[184],"reduction":[187,198,216],"improved":[189],"accuracy.":[190,235],"It":[191],"achieved":[192,211],"approximately":[193,212],"46.76%":[194],"highest":[197],"2.55%":[202],"compared":[204,217],"vanilla":[206],"model.":[208],"Further,":[209],"it":[210],"35.86%":[213],"attention":[219],"without":[221],"indicating":[223],"restructure":[227],"has":[228],"reduced":[229],"GPU":[230],"dependency":[231]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":3}],"updated_date":"2026-08-28T12:50:07.497085","created_date":"2025-10-10T00:00:00"}
