{"id":"https://openalex.org/W3163605308","doi":"https://doi.org/10.3233/jifs-201644","title":"Adaptive particle swarm optimization algorithm based long short-term memory networks for sentiment analysis","display_name":"Adaptive particle swarm optimization algorithm based long short-term memory networks for sentiment analysis","publication_year":2021,"publication_date":"2021-05-11","ids":{"openalex":"https://openalex.org/W3163605308","doi":"https://doi.org/10.3233/jifs-201644","mag":"3163605308"},"language":"en","primary_location":{"id":"doi:10.3233/jifs-201644","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-201644","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/A5087172193","display_name":"J. Shobana","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":true,"raw_author_name":"J. Shobana","raw_affiliation_strings":["Department of CSE, School of Computing, SRM Institute of Science and Technology, Chennai, India"],"affiliations":[{"raw_affiliation_string":"Department of CSE, School of Computing, SRM Institute of Science and Technology, Chennai, India","institution_ids":["https://openalex.org/I145286018"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101772331","display_name":"M. Murali","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":"M. Murali","raw_affiliation_strings":["Department of CSE, School of Computing, SRM Institute of Science and Technology, Chennai, India"],"affiliations":[{"raw_affiliation_string":"Department of CSE, School of Computing, SRM Institute of Science and Technology, Chennai, India","institution_ids":["https://openalex.org/I145286018"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5087172193"],"corresponding_institution_ids":["https://openalex.org/I145286018"],"apc_list":null,"apc_paid":null,"fwci":0.6798,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.75009413,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"40","issue":"6","first_page":"10703","last_page":"10719"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9997000098228455,"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":0.9997000098228455,"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":0.98089998960495,"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/T11326","display_name":"Stock Market Forecasting Methods","score":0.978600025177002,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8151513338088989},{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.7825677394866943},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.7580764293670654},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6514399647712708},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5136353373527527},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.4876915216445923},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.4810202717781067},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3629266619682312},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3243156671524048}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8151513338088989},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.7825677394866943},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.7580764293670654},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6514399647712708},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5136353373527527},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.4876915216445923},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.4810202717781067},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3629266619682312},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3243156671524048}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/jifs-201644","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-201644","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":0.6200000047683716}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W40549020","https://openalex.org/W179875071","https://openalex.org/W1743243001","https://openalex.org/W1965606641","https://openalex.org/W2108646579","https://openalex.org/W2143455647","https://openalex.org/W2162745921","https://openalex.org/W2253609223","https://openalex.org/W2305972813","https://openalex.org/W2510787547","https://openalex.org/W2582695630","https://openalex.org/W2612769033","https://openalex.org/W2693543755","https://openalex.org/W2786515081","https://openalex.org/W2798859316","https://openalex.org/W2885195348","https://openalex.org/W2886444838","https://openalex.org/W2888777359","https://openalex.org/W2889366722","https://openalex.org/W2899329739","https://openalex.org/W2911559398","https://openalex.org/W2919929668","https://openalex.org/W2926290169","https://openalex.org/W2941799245","https://openalex.org/W2950670279","https://openalex.org/W2958325372","https://openalex.org/W2967740805","https://openalex.org/W2973508239","https://openalex.org/W2974182162","https://openalex.org/W2980970477","https://openalex.org/W2990803728","https://openalex.org/W2997064598","https://openalex.org/W2999606367","https://openalex.org/W3003409257","https://openalex.org/W3003681195","https://openalex.org/W3021279605","https://openalex.org/W3098239359","https://openalex.org/W4205184193","https://openalex.org/W6601618085","https://openalex.org/W6607333740","https://openalex.org/W6637805623","https://openalex.org/W6683698691","https://openalex.org/W6772797249"],"related_works":["https://openalex.org/W2548633793","https://openalex.org/W2941935829","https://openalex.org/W3089396779","https://openalex.org/W2596247554","https://openalex.org/W4301373556","https://openalex.org/W3013279174","https://openalex.org/W3132372214","https://openalex.org/W4224284088","https://openalex.org/W4286571989","https://openalex.org/W4317653575"],"abstract_inverted_index":{"Text":[0],"Sentiment":[1],"analysis":[2,48],"is":[3,79,90,117,130,257],"the":[4,20,23,27,32,40,43,46,52,56,59,68,80,93,100,111,133,145,148,156,170,185,200,211,240,254],"process":[5,49],"of":[6,11,22,31,42,58,99,108,114,147,190],"predicting":[7],"whether":[8],"a":[9,36,64],"segment":[10],"text":[12],"has":[13],"opinionated":[14],"or":[15],"objective":[16],"content":[17],"and":[18,29,206,220,248],"analyzing":[19],"polarity":[21],"text\u2019s":[24],"sentiment.":[25],"Understanding":[26],"needs":[28],"behavior":[30],"target":[33],"customer":[34],"plays":[35],"vital":[37],"role":[38],"in":[39,84,92,132,140,180,187,198],"success":[41],"business":[44],"so":[45],"sentiment":[47,127],"would":[50],"help":[51],"marketer":[53],"to":[54,66,72,217,251],"improve":[55,144],"quality":[57],"product":[60],"as":[61,63,103,105,203,244],"well":[62,104],"shopper":[65],"buy":[67],"correct":[69],"product.":[70],"Due":[71],"its":[73],"automatic":[74],"learning":[75,78,162,207],"capability,":[76],"deep":[77],"current":[81],"research":[82],"interest":[83],"Natural":[85],"language":[86],"processing.":[87],"Skip-gram":[88],"architecture":[89],"used":[91,131],"proposed":[94,134,233,255],"model":[95,135,235,256],"for":[96,126,136,184],"better":[97],"extraction":[98],"semantic":[101],"relationships":[102],"contextual":[106],"information":[107],"words.":[109],"However,":[110],"main":[112],"contribution":[113],"this":[115],"work":[116],"Adaptive":[118,157,171],"Particle":[119,172],"Swarm":[120,173],"Optimization":[121,174],"(APSO)":[122,175],"algorithm":[123,168],"based":[124,161],"LSTM":[125,129,179,195],"analysis.":[128],"understanding":[137],"complex":[138],"patterns":[139],"textual":[141],"data.":[142],"To":[143],"performance":[146],"LSTM,":[149,246],"weight":[150,183],"parameters":[151],"are":[152],"enhanced":[153],"by":[154],"presenting":[155],"PSO":[158,167],"algorithm.":[159],"Opposition":[160],"(OBL)":[163],"method":[164],"combined":[165,209],"with":[166,210],"becomes":[169],"classifier":[176],"which":[177],"assists":[178],"selecting":[181],"optimal":[182,204],"environment":[186],"less":[188],"number":[189],"iterations.":[191],"So":[192],"APSO":[193],"-":[194],"\u2018s":[196],"ability":[197],"adjusting":[199],"attributes":[201],"such":[202,243],"weights":[205],"rates":[208],"good":[212],"hyper":[213],"parameter":[214],"choices":[215],"leads":[216],"improved":[218],"accuracy":[219,238],"reduces":[221],"losses.":[222],"Extensive":[223],"experiments":[224],"were":[225],"conducted":[226],"on":[227],"four":[228],"datasets":[229],"proved":[230],"that":[231],"our":[232],"APSO-LSTM":[234],"secured":[236],"higher":[237],"over":[239],"classical":[241],"methods":[242],"traditional":[245],"ANN,":[247],"SVM.":[249],"According":[250],"simulation":[252],"results,":[253],"outperforming":[258],"other":[259],"existing":[260],"models.":[261]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}