{"id":"https://openalex.org/W4391486316","doi":"https://doi.org/10.3233/jifs-224299","title":"Nesterov-accelerated Adaptive Moment Estimation NADAM-LSTM based text summarization1","display_name":"Nesterov-accelerated Adaptive Moment Estimation NADAM-LSTM based text summarization1","publication_year":2024,"publication_date":"2024-02-02","ids":{"openalex":"https://openalex.org/W4391486316","doi":"https://doi.org/10.3233/jifs-224299"},"language":"en","primary_location":{"id":"doi:10.3233/jifs-224299","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-224299","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent & Fuzzy Systems","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/A5025541144","display_name":"P. Radhakrishnan","orcid":"https://orcid.org/0000-0002-5032-501X"},"institutions":[{"id":"https://openalex.org/I145286018","display_name":"SRM Institute of Science and Technology","ror":"https://ror.org/050113w36","country_code":"IN","type":"education","lineage":["https://openalex.org/I145286018"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"P. Radhakrishnan","raw_affiliation_strings":["Department of Computational Intelligence, SRM Institute of Science and Technology, Kattankulathur Campus, Kattankulathur, Chennai, Tamil Nadu, India"],"affiliations":[{"raw_affiliation_string":"Department of Computational Intelligence, SRM Institute of Science and Technology, Kattankulathur Campus, Kattankulathur, Chennai, Tamil Nadu, India","institution_ids":["https://openalex.org/I145286018"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101676107","display_name":"G. Senthilkumar","orcid":null},"institutions":[{"id":"https://openalex.org/I145286018","display_name":"SRM Institute of Science and Technology","ror":"https://ror.org/050113w36","country_code":"IN","type":"education","lineage":["https://openalex.org/I145286018"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"G. Senthilkumar","raw_affiliation_strings":["Department of Computational Intelligence, SRM Institute of Science and Technology, Kattankulathur Campus, Kattankulathur, Chennai, Tamil Nadu, India"],"affiliations":[{"raw_affiliation_string":"Department of Computational Intelligence, SRM Institute of Science and Technology, Kattankulathur Campus, Kattankulathur, Chennai, Tamil Nadu, India","institution_ids":["https://openalex.org/I145286018"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5025541144"],"corresponding_institution_ids":["https://openalex.org/I145286018"],"apc_list":null,"apc_paid":null,"fwci":1.3817,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.8268947,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"46","issue":"3","first_page":"6781","last_page":"6793"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9970999956130981,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9934999942779541,"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/moment","display_name":"Moment (physics)","score":0.7770112752914429},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.7125635743141174},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.682170033454895},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5067253708839417},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.32347360253334045},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.05157327651977539},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.04005753993988037}],"concepts":[{"id":"https://openalex.org/C179254644","wikidata":"https://www.wikidata.org/wiki/Q13222844","display_name":"Moment (physics)","level":2,"score":0.7770112752914429},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.7125635743141174},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.682170033454895},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5067253708839417},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32347360253334045},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.05157327651977539},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.04005753993988037},{"id":"https://openalex.org/C74650414","wikidata":"https://www.wikidata.org/wiki/Q11397","display_name":"Classical mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/jifs-224299","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-224299","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent & Fuzzy Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.8100000023841858}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W2792593939","https://openalex.org/W2793376154","https://openalex.org/W2979329658","https://openalex.org/W2991463832","https://openalex.org/W2998706831","https://openalex.org/W3085717538","https://openalex.org/W3093466032","https://openalex.org/W3111763975","https://openalex.org/W3120836434","https://openalex.org/W3126730080","https://openalex.org/W3161494759","https://openalex.org/W3189345904","https://openalex.org/W3190367510","https://openalex.org/W3196543311","https://openalex.org/W3217119495","https://openalex.org/W4221011204","https://openalex.org/W4224283424","https://openalex.org/W4226374385","https://openalex.org/W4283725441","https://openalex.org/W4318996619","https://openalex.org/W6789265696","https://openalex.org/W6810454294"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2382290278","https://openalex.org/W2350741829","https://openalex.org/W2530322880","https://openalex.org/W2033914206","https://openalex.org/W2042327336"],"abstract_inverted_index":{"Automatic":[0],"text":[1,22,99,108],"summarization":[2],"is":[3,79,100,109,122,135],"the":[4,17,20,26,29,57,74,94,98,103,107,115,120,132,161,165],"task":[5],"of":[6,19,28,119,131,155],"creating":[7],"concise":[8],"and":[9,70,87,145,172,177],"fluent":[10],"summaries":[11],"without":[12],"human":[13],"intervention":[14],"while":[15],"preserving":[16],"meaning":[18],"original":[21],"document.":[23],"To":[24],"increase":[25],"readability":[27],"languages,":[30],"a":[31,39],"summary":[32,68,95],"should":[33],"be":[34],"generated.":[35],"In":[36,93],"this":[37],"paper,":[38],"novel":[40],"Nesterov-accelerated":[41],"Adaptive":[42],"Moment":[43],"Estimation":[44],"Optimization":[45],"based":[46,137],"on":[47,138],"Long":[48],"Short-Term":[49],"Memory":[50],"[NADAM-LSTM]":[51],"has":[52],"been":[53],"proposed":[54,60,133,162],"to":[55,102,111,113],"summarize":[56,114],"text.":[58,116],"The":[59,117,128,148,157],"NADAM-LSTM":[61,134,150,163],"model":[62],"involves":[63],"three":[64],"stages":[65],"namely":[66],"pre-processing,":[67],"generation,":[69],"parameter":[71,118],"tuning.":[72],"Initially,":[73],"Giga":[75],"word":[76],"Corpus":[77],"dataset":[78],"pre-processed":[80],"using":[81,125],"Tokenization,":[82],"Word":[83],"Removal,":[84],"Stemming,":[85],"Lemmatization,":[86],"Normalization":[88],"for":[89],"removing":[90],"irrelevant":[91],"data.":[92],"generation":[96],"phase,":[97],"converted":[101],"word-to-vector":[104],"method.":[105],"Further,":[106],"fed":[110],"LSTM":[112,121],"then":[123],"tuned":[124],"NADAM":[126],"Optimization.":[127],"performance":[129],"analysis":[130],"calculated":[136],"parameters":[139],"like":[140],"accuracy,":[141],"specificity,":[142],"Recall,":[143],"Precision,":[144],"F1":[146],"score.":[147],"suggested":[149],"achieves":[151],"an":[152],"accuracy":[153,167],"range":[154],"99.5%.":[156],"result":[158],"illustrates":[159],"that":[160],"enhances":[164],"overall":[166],"better":[168],"than":[169],"12%,":[170],"2.5%,":[171],"1.5%":[173],"in":[174],"BERT,":[175],"CNN-LSTM,":[176],"RNN":[178],"respectively.":[179]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1}],"updated_date":"2026-04-02T15:55:50.835912","created_date":"2025-10-10T00:00:00"}