{"id":"https://openalex.org/W4410188761","doi":"https://doi.org/10.32604/cmc.2025.063099","title":"Bio-Inspired Algorithms in NLP Techniques: Challenges, Limitations and Its Applications","display_name":"Bio-Inspired Algorithms in NLP Techniques: Challenges, Limitations and Its Applications","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4410188761","doi":"https://doi.org/10.32604/cmc.2025.063099"},"language":"en","primary_location":{"id":"doi:10.32604/cmc.2025.063099","is_oa":true,"landing_page_url":"https://doi.org/10.32604/cmc.2025.063099","pdf_url":null,"source":{"id":"https://openalex.org/S4210191605","display_name":"Computers, materials & continua/Computers, materials & continua (Print)","issn_l":"1546-2218","issn":["1546-2218","1546-2226"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computers, Materials &amp; Continua","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://doi.org/10.32604/cmc.2025.063099","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5092541263","display_name":"Huu-Tuong Ho","orcid":"https://orcid.org/0009-0001-0526-3534"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Huu-Tuong Ho","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062911297","display_name":"Thi-Thuy-Hoai Nguyen","orcid":"https://orcid.org/0009-0007-6328-0715"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Thi-Thuy-Hoai Nguyen","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104254124","display_name":"Duong Nguyen Minh Huy","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Duong Nguyen Minh Huy","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5016461160","display_name":"Luong Vuong Nguyen","orcid":"https://orcid.org/0000-0002-4680-1984"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Luong Vuong Nguyen","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5092541263"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.10656928,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"83","issue":"3","first_page":"3945","last_page":"3973"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13937","display_name":"Genetics, Bioinformatics, and Biomedical Research","score":0.8672999739646912,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T13937","display_name":"Genetics, Bioinformatics, and Biomedical Research","score":0.8672999739646912,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.548600971698761},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5079420208930969},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4182322919368744},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.39310717582702637},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3473331928253174}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.548600971698761},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5079420208930969},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4182322919368744},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.39310717582702637},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3473331928253174}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.32604/cmc.2025.063099","is_oa":true,"landing_page_url":"https://doi.org/10.32604/cmc.2025.063099","pdf_url":null,"source":{"id":"https://openalex.org/S4210191605","display_name":"Computers, materials & continua/Computers, materials & continua (Print)","issn_l":"1546-2218","issn":["1546-2218","1546-2226"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computers, Materials &amp; Continua","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.32604/cmc.2025.063099","is_oa":true,"landing_page_url":"https://doi.org/10.32604/cmc.2025.063099","pdf_url":null,"source":{"id":"https://openalex.org/S4210191605","display_name":"Computers, materials & continua/Computers, materials & continua (Print)","issn_l":"1546-2218","issn":["1546-2218","1546-2226"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computers, Materials &amp; Continua","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":55,"referenced_works":["https://openalex.org/W1595159159","https://openalex.org/W1663984431","https://openalex.org/W1991499331","https://openalex.org/W1995612730","https://openalex.org/W1996605612","https://openalex.org/W2017642470","https://openalex.org/W2020029245","https://openalex.org/W2024906359","https://openalex.org/W2053503966","https://openalex.org/W2053699633","https://openalex.org/W2061438946","https://openalex.org/W2064922989","https://openalex.org/W2067187882","https://openalex.org/W2068833644","https://openalex.org/W2092782467","https://openalex.org/W2100893877","https://openalex.org/W2105243415","https://openalex.org/W2113292296","https://openalex.org/W2143560894","https://openalex.org/W2146230369","https://openalex.org/W2152814877","https://openalex.org/W2154929945","https://openalex.org/W2166743847","https://openalex.org/W2188506490","https://openalex.org/W2191258242","https://openalex.org/W2210472625","https://openalex.org/W2534377085","https://openalex.org/W2573137292","https://openalex.org/W2582695630","https://openalex.org/W2731318315","https://openalex.org/W2747680751","https://openalex.org/W2913898221","https://openalex.org/W2916675586","https://openalex.org/W2963127708","https://openalex.org/W2985845430","https://openalex.org/W3004231607","https://openalex.org/W3025841075","https://openalex.org/W3049160157","https://openalex.org/W3092826489","https://openalex.org/W3094704314","https://openalex.org/W3097179638","https://openalex.org/W3128820744","https://openalex.org/W3163903840","https://openalex.org/W4220760969","https://openalex.org/W4292083457","https://openalex.org/W4319069705","https://openalex.org/W4323360796","https://openalex.org/W4367727818","https://openalex.org/W4378714774","https://openalex.org/W4386764545","https://openalex.org/W4387258712","https://openalex.org/W4400173509","https://openalex.org/W4400659510","https://openalex.org/W4403063186","https://openalex.org/W4403735482"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W4387369504","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W3107602296","https://openalex.org/W4364306694","https://openalex.org/W4312192474","https://openalex.org/W4283697347"],"abstract_inverted_index":{"Natural":[0],"Language":[1],"Processing":[2],"(NLP)":[3],"has":[4],"become":[5,21],"essential":[6],"in":[7,129],"text":[8],"classification,":[9],"sentiment":[10],"analysis,":[11],"machine":[12,24],"translation,":[13],"and":[14,26,36,63,85,105,108,123,136],"speech":[15],"recognition":[16],"applications.":[17],"As":[18],"these":[19],"tasks":[20],"complex,":[22],"traditional":[23],"learning":[25,28,66],"deep":[27],"models":[29,135],"encounter":[30],"challenges":[31,125],"with":[32,101],"optimization,":[33],"parameter":[34],"tuning,":[35],"handling":[37],"large-scale,":[38],"high-dimensional":[39],"data.":[40],"Bio-inspired":[41],"algorithms,":[42],"which":[43],"mimic":[44],"natural":[45],"processes,":[46],"offer":[47],"robust":[48],"optimization":[49],"capabilities":[50],"that":[51,149],"can":[52],"enhance":[53],"NLP":[54,91],"performance":[55],"by":[56],"improving":[57],"feature":[58],"selection,":[59],"optimizing":[60],"model":[61],"parameters,":[62],"integrating":[64],"adaptive":[65],"mechanisms.":[67],"This":[68],"review":[69],"explores":[70],"the":[71,120,151],"state-of-the-art":[72],"applications":[73],"of":[74,114,126,153],"bio-inspired":[75,127,156],"algorithms\u2014such":[76],"as":[77],"Genetic":[78],"Algorithms":[79],"(GA),":[80],"Particle":[81],"Swarm":[82],"Optimization":[83,88],"(PSO),":[84],"Ant":[86],"Colony":[87],"(ACO)\u2014across":[89],"core":[90],"tasks.":[92],"We":[93],"analyze":[94],"their":[95,99],"comparative":[96],"advantages,":[97],"discuss":[98],"integration":[100],"neural":[102],"network":[103],"models,":[104],"address":[106],"computational":[107],"scalability":[109],"limitations.":[110],"Through":[111],"a":[112],"synthesis":[113],"existing":[115],"research,":[116],"this":[117],"paper":[118],"highlights":[119],"unique":[121],"strengths":[122],"current":[124],"approaches":[128],"NLP,":[130],"offering":[131],"insights":[132],"into":[133],"hybrid":[134],"lightweight,":[137],"resource-efficient":[138],"adaptations":[139],"for":[140],"real-time":[141],"processing.":[142],"Finally,":[143],"we":[144],"outline":[145],"future":[146],"research":[147],"directions":[148],"emphasize":[150],"development":[152],"scalable,":[154],"effective":[155],"methods":[157],"adaptable":[158],"to":[159],"evolving":[160],"data":[161],"environments.":[162]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
