{"id":"https://openalex.org/W4400275750","doi":"https://doi.org/10.1109/tcss.2024.3368171","title":"Enhanced Implicit Sentiment Understanding With Prototype Learning and Demonstration for Aspect-Based Sentiment Analysis","display_name":"Enhanced Implicit Sentiment Understanding With Prototype Learning and Demonstration for Aspect-Based Sentiment Analysis","publication_year":2024,"publication_date":"2024-07-03","ids":{"openalex":"https://openalex.org/W4400275750","doi":"https://doi.org/10.1109/tcss.2024.3368171"},"language":"en","primary_location":{"id":"doi:10.1109/tcss.2024.3368171","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcss.2024.3368171","pdf_url":null,"source":{"id":"https://openalex.org/S2490693980","display_name":"IEEE Transactions on Computational Social Systems","issn_l":"2329-924X","issn":["2329-924X","2373-7476"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Computational Social 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/A5014937229","display_name":"Huizhe Su","orcid":"https://orcid.org/0009-0006-1157-5952"},"institutions":[{"id":"https://openalex.org/I141962983","display_name":"Shanghai University of Engineering Science","ror":"https://ror.org/0557b9y08","country_code":"CN","type":"education","lineage":["https://openalex.org/I141962983"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Huizhe Su","raw_affiliation_strings":["School of Computer Engineering and Science, Shanghai University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Engineering and Science, Shanghai University, Shanghai, China","institution_ids":["https://openalex.org/I141962983"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100674029","display_name":"Xinzhi Wang","orcid":"https://orcid.org/0000-0001-8218-3389"},"institutions":[{"id":"https://openalex.org/I141962983","display_name":"Shanghai University of Engineering Science","ror":"https://ror.org/0557b9y08","country_code":"CN","type":"education","lineage":["https://openalex.org/I141962983"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinzhi Wang","raw_affiliation_strings":["School of Computer Engineering and Science, Shanghai University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Engineering and Science, Shanghai University, Shanghai, China","institution_ids":["https://openalex.org/I141962983"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100782329","display_name":"Jinpeng Li","orcid":"https://orcid.org/0009-0007-2572-117X"},"institutions":[{"id":"https://openalex.org/I141962983","display_name":"Shanghai University of Engineering Science","ror":"https://ror.org/0557b9y08","country_code":"CN","type":"education","lineage":["https://openalex.org/I141962983"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinpeng Li","raw_affiliation_strings":["School of Computer Engineering and Science, Shanghai University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Engineering and Science, Shanghai University, Shanghai, China","institution_ids":["https://openalex.org/I141962983"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086702173","display_name":"Shaorong Xie","orcid":"https://orcid.org/0000-0002-8016-9310"},"institutions":[{"id":"https://openalex.org/I141962983","display_name":"Shanghai University of Engineering Science","ror":"https://ror.org/0557b9y08","country_code":"CN","type":"education","lineage":["https://openalex.org/I141962983"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shaorong Xie","raw_affiliation_strings":["School of Computer Engineering and Science, Shanghai University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Engineering and Science, Shanghai University, Shanghai, China","institution_ids":["https://openalex.org/I141962983"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100426947","display_name":"Xiangfeng Luo","orcid":"https://orcid.org/0000-0003-4577-9241"},"institutions":[{"id":"https://openalex.org/I141962983","display_name":"Shanghai University of Engineering Science","ror":"https://ror.org/0557b9y08","country_code":"CN","type":"education","lineage":["https://openalex.org/I141962983"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangfeng Luo","raw_affiliation_strings":["School of Computer Engineering and Science, Shanghai University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Engineering and Science, Shanghai University, Shanghai, China","institution_ids":["https://openalex.org/I141962983"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5014937229"],"corresponding_institution_ids":["https://openalex.org/I141962983"],"apc_list":null,"apc_paid":null,"fwci":2.4326,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.90150821,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"11","issue":"5","first_page":"5631","last_page":"5646"},"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":0.9975000023841858,"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":0.975600004196167,"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/sentiment-analysis","display_name":"Sentiment analysis","score":0.7746251821517944},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5630995035171509},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.436308890581131},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.40759772062301636},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.38164281845092773},{"id":"https://openalex.org/keywords/cognitive-science","display_name":"Cognitive science","score":0.3404158353805542},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.26066893339157104}],"concepts":[{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.7746251821517944},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5630995035171509},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.436308890581131},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.40759772062301636},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.38164281845092773},{"id":"https://openalex.org/C188147891","wikidata":"https://www.wikidata.org/wiki/Q147638","display_name":"Cognitive science","level":1,"score":0.3404158353805542},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.26066893339157104}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcss.2024.3368171","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcss.2024.3368171","pdf_url":null,"source":{"id":"https://openalex.org/S2490693980","display_name":"IEEE Transactions on Computational Social Systems","issn_l":"2329-924X","issn":["2329-924X","2373-7476"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Computational Social Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2285610658","display_name":null,"funder_award_id":"91746203","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6825846384","display_name":null,"funder_award_id":"2021YFC3300602","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G7315847417","display_name":null,"funder_award_id":"72204155","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":54,"referenced_works":["https://openalex.org/W2146610201","https://openalex.org/W2251124635","https://openalex.org/W2251648804","https://openalex.org/W2252057809","https://openalex.org/W2562607067","https://openalex.org/W2757541972","https://openalex.org/W2884561390","https://openalex.org/W2891778157","https://openalex.org/W2896457183","https://openalex.org/W2925618549","https://openalex.org/W2952198026","https://openalex.org/W2954278700","https://openalex.org/W2963909901","https://openalex.org/W2970161131","https://openalex.org/W2970748008","https://openalex.org/W2971220558","https://openalex.org/W2997141632","https://openalex.org/W3022478400","https://openalex.org/W3035529900","https://openalex.org/W3098267758","https://openalex.org/W3105174597","https://openalex.org/W3117670243","https://openalex.org/W3153427360","https://openalex.org/W3158446466","https://openalex.org/W3167287584","https://openalex.org/W3173457006","https://openalex.org/W3173777717","https://openalex.org/W3174784402","https://openalex.org/W3176690085","https://openalex.org/W3176719207","https://openalex.org/W3177239031","https://openalex.org/W3202729335","https://openalex.org/W3209701493","https://openalex.org/W4206804859","https://openalex.org/W4225987007","https://openalex.org/W4285168678","https://openalex.org/W4285286749","https://openalex.org/W4287854714","https://openalex.org/W4288089799","https://openalex.org/W4312908198","https://openalex.org/W4317568744","https://openalex.org/W4321770442","https://openalex.org/W4321793515","https://openalex.org/W4384303990","https://openalex.org/W4385245566","https://openalex.org/W4385776076","https://openalex.org/W4386091971","https://openalex.org/W4387849048","https://openalex.org/W6676723433","https://openalex.org/W6769627184","https://openalex.org/W6778883912","https://openalex.org/W6800480908","https://openalex.org/W6838672108","https://openalex.org/W6845413636"],"related_works":["https://openalex.org/W2548633793","https://openalex.org/W3013279174","https://openalex.org/W2941935829","https://openalex.org/W2596247554","https://openalex.org/W3132372214","https://openalex.org/W4224284088","https://openalex.org/W4286571989","https://openalex.org/W2765903680","https://openalex.org/W4317653575","https://openalex.org/W3204019825"],"abstract_inverted_index":{"In":[0,94,128,150,192],"the":[1,6,16,33,48,64,67,88,96,125,140,151,161,183,188,193,201,205,213,217,230,235,245],"field":[2],"of":[3,8,19,28,90,98,165,182,240,247],"social":[4,51,267],"computing,":[5],"task":[7],"aspect-based":[9],"sentiment":[10,17,36,45,84,163,169,184,190,215,253,264],"analysis":[11],"(ABSA)":[12],"aims":[13],"to":[14,62,87,101,108,124,159,177,196,212],"classify":[15],"polarity":[18,185],"a":[20,24,39,133,225,260],"given":[21],"aspect":[22,35,68,166,214],"in":[23,32,47,79,234,250,266],"sentence.":[25],"The":[26],"absence":[27],"explicit":[29,91,198],"opinion":[30,92],"words":[31,114],"implicit":[34,189,252,263],"expressions":[37],"poses":[38],"greater":[40],"challenge":[41],"for":[42,83,139,200,262],"capturing":[43,251],"their":[44],"features":[46],"reviews":[49],"from":[50],"media.":[52],"Many":[53],"recent":[54],"efforts":[55],"use":[56,97],"dependency":[57,74],"trees":[58],"or":[59],"attention":[60,99,158],"mechanisms":[61,100],"model":[63,138,221],"association":[65],"between":[66],"and":[69,147,167,254],"other":[70],"contextual":[71],"words.":[72,93],"However,":[73],"tree-based":[75],"methods":[76],"are":[77,120],"inefficient":[78],"constructing":[80],"valuable":[81],"associations":[82],"classification":[85,256,265],"due":[86],"lack":[89],"addition,":[95],"obtain":[102],"global":[103,162],"semantic":[104],"information":[105],"easily":[106],"leads":[107],"an":[109],"undesired":[110],"focus":[111],"on":[112,229],"irrelevant":[113],"that":[115,186],"may":[116],"have":[117],"sentiments":[118],"but":[119],"not":[121],"directly":[122],"related":[123],"specific":[126],"aspect.":[127],"this":[129],"article,":[130],"we":[131,155,208],"propose":[132],"novel":[134],"prototype-based":[135],"demonstration":[136],"(PD)":[137],"ABSA":[141],"task,":[142],"which":[143],"contains":[144,187],"prototype":[145,152],"learning":[146,153],"PD":[148,194],"stages.":[149],"stage,":[154,195],"employ":[156],"mask-aware":[157],"capture":[160],"feature":[164],"learn":[168],"prototypes":[170,210],"through":[171],"contrastive":[172],"learning.":[173],"This":[174,258],"allows":[175],"us":[176],"acquire":[178],"comprehensive":[179],"central":[180],"semantics":[181],"features.":[191],"provide":[197],"guidance":[199],"latent":[202],"knowledge":[203],"within":[204],"T5":[206],"model,":[207],"utilize":[209],"similar":[211],"as":[216],"neural":[218],"demonstration.":[219],"Our":[220],"outperforms":[222],"others":[223],"with":[224],"1.68%/0.28%":[226],"accuracy":[227],"gain":[228],"Laptop/Restaurant":[231],"datasets,":[232],"especially":[233],"ISE":[236],"slice,":[237],"showing":[238],"improvements":[239],"1.17%/0.26%.":[241],"These":[242],"results":[243],"confirm":[244],"superiority":[246],"our":[248],"PD-ABSA":[249],"improving":[255],"performance.":[257],"provides":[259],"solution":[261],"computing.":[268]},"counts_by_year":[{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
