{"id":"https://openalex.org/W4391893601","doi":"https://doi.org/10.1007/s11063-024-11513-3","title":"A Sparse Self-Attention Enhanced Model for Aspect-Level Sentiment Classification","display_name":"A Sparse Self-Attention Enhanced Model for Aspect-Level Sentiment Classification","publication_year":2024,"publication_date":"2024-02-16","ids":{"openalex":"https://openalex.org/W4391893601","doi":"https://doi.org/10.1007/s11063-024-11513-3"},"language":"en","primary_location":{"id":"doi:10.1007/s11063-024-11513-3","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11063-024-11513-3","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11063-024-11513-3.pdf","source":{"id":"https://openalex.org/S140962798","display_name":"Neural Processing Letters","issn_l":"1370-4621","issn":["1370-4621","1573-773X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural Processing Letters","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s11063-024-11513-3.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5041284519","display_name":"P. R. Joe Dhanith","orcid":"https://orcid.org/0000-0002-9022-9145"},"institutions":[{"id":"https://openalex.org/I876193797","display_name":"Vellore Institute of Technology University","ror":"https://ror.org/00qzypv28","country_code":"IN","type":"education","lineage":["https://openalex.org/I876193797"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"P. R. Joe Dhanith","raw_affiliation_strings":["School of Computer Science and Engineering, Vellore Institute of Technology Chennai Campus, Chennai, 600127, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Vellore Institute of Technology Chennai Campus, Chennai, 600127, India","institution_ids":["https://openalex.org/I876193797"]}]},{"author_position":"middle","author":{"id":null,"display_name":"B. Surendiran","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"B. Surendiran","raw_affiliation_strings":["Department of Computer Science and Engineering, National Institute of Technology Puducherry, Karaikal, 609609, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, National Institute of Technology Puducherry, Karaikal, 609609, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018651655","display_name":"G. Rohith","orcid":null},"institutions":[{"id":"https://openalex.org/I876193797","display_name":"Vellore Institute of Technology University","ror":"https://ror.org/00qzypv28","country_code":"IN","type":"education","lineage":["https://openalex.org/I876193797"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"G. Rohith","raw_affiliation_strings":["School of Electronics and Communication Engineering, Vellore Institute of Technology Chennai Campus, Chennai, 600127, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronics and Communication Engineering, Vellore Institute of Technology Chennai Campus, Chennai, 600127, India","institution_ids":["https://openalex.org/I876193797"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101305942","display_name":"Sujithra R. Kanmani","orcid":null},"institutions":[{"id":"https://openalex.org/I876193797","display_name":"Vellore Institute of Technology University","ror":"https://ror.org/00qzypv28","country_code":"IN","type":"education","lineage":["https://openalex.org/I876193797"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sujithra R. Kanmani","raw_affiliation_strings":["School of Computer Science and Engineering, Vellore Institute of Technology Chennai Campus, Chennai, 600127, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Vellore Institute of Technology Chennai Campus, Chennai, 600127, India","institution_ids":["https://openalex.org/I876193797"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5104245053","display_name":"K. Valli Devi","orcid":null},"institutions":[{"id":"https://openalex.org/I876193797","display_name":"Vellore Institute of Technology University","ror":"https://ror.org/00qzypv28","country_code":"IN","type":"education","lineage":["https://openalex.org/I876193797"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"K. Valli Devi","raw_affiliation_strings":["School of Computer Science and Engineering, Vellore Institute of Technology Chennai Campus, Chennai, 600127, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Vellore Institute of Technology Chennai Campus, Chennai, 600127, India","institution_ids":["https://openalex.org/I876193797"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5041284519"],"corresponding_institution_ids":["https://openalex.org/I876193797"],"apc_list":{"value":2990,"currency":"USD","value_usd":2990},"apc_paid":{"value":2990,"currency":"USD","value_usd":2990},"fwci":2.6731,"has_fulltext":true,"cited_by_count":11,"citation_normalized_percentile":{"value":0.9048568,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"56","issue":"2","first_page":null,"last_page":null},"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9961000084877014,"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":0.9955000281333923,"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/computational-intelligence","display_name":"Computational intelligence","score":0.6643929481506348},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5908734798431396},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.49586567282676697},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4684678912162781},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.43851959705352783},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.40013939142227173}],"concepts":[{"id":"https://openalex.org/C139502532","wikidata":"https://www.wikidata.org/wiki/Q1122090","display_name":"Computational intelligence","level":2,"score":0.6643929481506348},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5908734798431396},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.49586567282676697},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4684678912162781},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.43851959705352783},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.40013939142227173}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s11063-024-11513-3","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11063-024-11513-3","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11063-024-11513-3.pdf","source":{"id":"https://openalex.org/S140962798","display_name":"Neural Processing Letters","issn_l":"1370-4621","issn":["1370-4621","1573-773X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural Processing Letters","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1007/s11063-024-11513-3","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11063-024-11513-3","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11063-024-11513-3.pdf","source":{"id":"https://openalex.org/S140962798","display_name":"Neural Processing Letters","issn_l":"1370-4621","issn":["1370-4621","1573-773X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural Processing Letters","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/2","display_name":"Zero hunger","score":0.49000000953674316}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4391893601.pdf"},"referenced_works_count":38,"referenced_works":["https://openalex.org/W2124290836","https://openalex.org/W2250539671","https://openalex.org/W2251124635","https://openalex.org/W2251294039","https://openalex.org/W2251648804","https://openalex.org/W2251792193","https://openalex.org/W2252057809","https://openalex.org/W2465978385","https://openalex.org/W2562607067","https://openalex.org/W2790309729","https://openalex.org/W2794259165","https://openalex.org/W2898812668","https://openalex.org/W2900120976","https://openalex.org/W2911752708","https://openalex.org/W2943218999","https://openalex.org/W2947851192","https://openalex.org/W2962987552","https://openalex.org/W2963168371","https://openalex.org/W2963355447","https://openalex.org/W2963909901","https://openalex.org/W2964059932","https://openalex.org/W2964164368","https://openalex.org/W2970748008","https://openalex.org/W2971220558","https://openalex.org/W3003580126","https://openalex.org/W3035529900","https://openalex.org/W3039458202","https://openalex.org/W3098363382","https://openalex.org/W3130007472","https://openalex.org/W3130441769","https://openalex.org/W3140931699","https://openalex.org/W3159156469","https://openalex.org/W3160178538","https://openalex.org/W3161232318","https://openalex.org/W3167830325","https://openalex.org/W3215875089","https://openalex.org/W4362670371","https://openalex.org/W4365517916"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W3046775127","https://openalex.org/W3107602296","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W4364306694","https://openalex.org/W4312192474","https://openalex.org/W2033914206","https://openalex.org/W4283697347"],"abstract_inverted_index":{"Abstract":[0],"Aspect":[1,167],"based":[2,117,144,159],"sentiment":[3,13,36],"analysis":[4,200],"(ABSA)":[5],"manifests":[6],"the":[7,27,35,60,69,104,107,120],"well":[8],"refined":[9],"work":[10],"as":[11,62,112,129,191,196],"Aspect-level":[12],"classification":[14],"(ASC)":[15],"due":[16],"to":[17,43,74,123,176],"recent":[18],"high":[19],"attention":[20,116],"and":[21,86],"profound":[22],"outcomes.":[23],"This":[24],"paper":[25],"reveals":[26,59],"exorbitant":[28],"relation":[29,76],"of":[30,38,67,103,189],"concerned":[31],"aspect":[32,57,122],"in":[33,41,65,96],"determining":[34],"polarity":[37,61,70],"a":[39],"sentence":[40,97,190],"addition":[42],"their":[44],"content.":[45],"Considering":[46],"an":[47,78],"instance,":[48],"\u201cThe":[49],"food":[50,58],"is":[51,55,98,136,174,184],"tasty":[52],"but":[53],"restaurant":[54],"untidy\u201d,":[56],"positive,":[63],"while":[64],"case":[66],"restaurant,":[68],"seems":[71],"negative.":[72],"Hence":[73],"scout":[75],"between":[77],"$$aspect$$":[79],"<mml:math":[80,88],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\">":[81,89],"<mml:mrow>":[82,90],"<mml:mi>aspect</mml:mi>":[83],"</mml:mrow>":[84,92],"</mml:math>":[85,93],"$$context$$":[87],"<mml:mi>context</mml:mi>":[91],"words":[94,128,151],"present":[95],"much":[99],"vital.":[100],"In":[101],"spite":[102],"exceptional":[105],"progress,":[106],"ASC":[108,173,202],"experiences":[109],"certain":[110],"pitfalls":[111],"(1)":[113],"The":[114,180,198],"current":[115],"methods":[118],"makes":[119],"given":[121],"falsely":[124],"relate":[125],"syntactically":[126],"unrelated":[127],"related":[130],"ones.":[131],"(2)":[132],"Single":[133],"context-independent":[134],"representation":[135],"only":[137],"achieved":[138],"by":[139],"traditional":[140],"Word2Vec":[141],"or":[142],"GloVe":[143],"embedding":[145],"vectors.":[146],"(3)":[147],"Sentiments":[148],"for":[149,157,172],"multiple":[150,192],"that":[152,206],"are":[153,194],"inconsecutive":[154],"remain":[155],"insufficient":[156],"CNN":[158],"models.":[160],"A":[161],"Sparse-Self-Attention-based":[162],"Gated":[163],"Recurrent":[164],"Unit":[165],"with":[166],"Embedding":[168],"(SSA-GRU-AE)":[169],"implementing":[170],"BERT":[171],"proposed":[175,181,207],"solve":[177],"these":[178],"issues.":[179],"SSA-GRU-AE":[182],"mechanism":[183],"centralized":[185],"on":[186,201,211],"various":[187],"portions":[188],"aspects":[193],"taken":[195],"input.":[197],"experimental":[199],"datasets":[203],"has":[204],"proved":[205],"model":[208],"enhanced":[209],"performance":[210],"ASC.":[212]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":3}],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2025-10-10T00:00:00"}
