{"id":"https://openalex.org/W3200233617","doi":"https://doi.org/10.1109/ijcnn52387.2021.9534052","title":"Bilateral-brain-like Semantic and Syntactic Cognitive Network for Aspect-level Sentiment Analysis","display_name":"Bilateral-brain-like Semantic and Syntactic Cognitive Network for Aspect-level Sentiment Analysis","publication_year":2021,"publication_date":"2021-07-18","ids":{"openalex":"https://openalex.org/W3200233617","doi":"https://doi.org/10.1109/ijcnn52387.2021.9534052","mag":"3200233617"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn52387.2021.9534052","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn52387.2021.9534052","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5063891979","display_name":"Jinpeng Chen","orcid":"https://orcid.org/0000-0003-4157-5110"},"institutions":[{"id":"https://openalex.org/I187400657","display_name":"South China Normal University","ror":"https://ror.org/01kq0pv72","country_code":"CN","type":"education","lineage":["https://openalex.org/I187400657"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinpeng Chen","raw_affiliation_strings":["School of Physics and Telecommunication Engineering, South China Normal University, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Physics and Telecommunication Engineering, South China Normal University, Guangzhou, China","institution_ids":["https://openalex.org/I187400657"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006594443","display_name":"Zuohua Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I187400657","display_name":"South China Normal University","ror":"https://ror.org/01kq0pv72","country_code":"CN","type":"education","lineage":["https://openalex.org/I187400657"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zuohua Huang","raw_affiliation_strings":["School of Physics and Telecommunication Engineering, South China Normal University, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Physics and Telecommunication Engineering, South China Normal University, Guangzhou, China","institution_ids":["https://openalex.org/I187400657"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015564248","display_name":"Yun Xue","orcid":"https://orcid.org/0000-0002-4048-5298"},"institutions":[{"id":"https://openalex.org/I187400657","display_name":"South China Normal University","ror":"https://ror.org/01kq0pv72","country_code":"CN","type":"education","lineage":["https://openalex.org/I187400657"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yun Xue","raw_affiliation_strings":["School of Physics and Telecommunication Engineering, South China Normal University, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Physics and Telecommunication Engineering, South China Normal University, Guangzhou, China","institution_ids":["https://openalex.org/I187400657"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I187400657"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9987000226974487,"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":0.9966999888420105,"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/computer-science","display_name":"Computer science","score":0.7924315929412842},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.6680164337158203},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.6071004867553711},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6008650660514832},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5974085927009583},{"id":"https://openalex.org/keywords/cognition","display_name":"Cognition","score":0.5774246454238892},{"id":"https://openalex.org/keywords/semantic-memory","display_name":"Semantic memory","score":0.5108806490898132},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.46460241079330444},{"id":"https://openalex.org/keywords/polarity","display_name":"Polarity (international relations)","score":0.45453080534935},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.432519793510437},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.4316613972187042},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.12222197651863098}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7924315929412842},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.6680164337158203},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.6071004867553711},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6008650660514832},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5974085927009583},{"id":"https://openalex.org/C169900460","wikidata":"https://www.wikidata.org/wiki/Q2200417","display_name":"Cognition","level":2,"score":0.5774246454238892},{"id":"https://openalex.org/C197914299","wikidata":"https://www.wikidata.org/wiki/Q18650","display_name":"Semantic memory","level":3,"score":0.5108806490898132},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.46460241079330444},{"id":"https://openalex.org/C2777361361","wikidata":"https://www.wikidata.org/wiki/Q1112585","display_name":"Polarity (international relations)","level":3,"score":0.45453080534935},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.432519793510437},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.4316613972187042},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.12222197651863098},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0},{"id":"https://openalex.org/C1491633281","wikidata":"https://www.wikidata.org/wiki/Q7868","display_name":"Cell","level":2,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn52387.2021.9534052","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn52387.2021.9534052","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":56,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1536452065","https://openalex.org/W1989092323","https://openalex.org/W1991762558","https://openalex.org/W2013894622","https://openalex.org/W2019370496","https://openalex.org/W2032189966","https://openalex.org/W2048068566","https://openalex.org/W2089987740","https://openalex.org/W2122410182","https://openalex.org/W2122436756","https://openalex.org/W2127417323","https://openalex.org/W2135690827","https://openalex.org/W2140345716","https://openalex.org/W2144764737","https://openalex.org/W2161427841","https://openalex.org/W2250539671","https://openalex.org/W2251124635","https://openalex.org/W2251648804","https://openalex.org/W2253519362","https://openalex.org/W2333091651","https://openalex.org/W2529550020","https://openalex.org/W2612769033","https://openalex.org/W2757541972","https://openalex.org/W2767210791","https://openalex.org/W2798687743","https://openalex.org/W2875308690","https://openalex.org/W2885625889","https://openalex.org/W2889809771","https://openalex.org/W2891778157","https://openalex.org/W2899329739","https://openalex.org/W2904893967","https://openalex.org/W2949029099","https://openalex.org/W2962739339","https://openalex.org/W2963428430","https://openalex.org/W2963909901","https://openalex.org/W2964121744","https://openalex.org/W2964164368","https://openalex.org/W2970583420","https://openalex.org/W2970748008","https://openalex.org/W2971220558","https://openalex.org/W2976697610","https://openalex.org/W2977233821","https://openalex.org/W2978450937","https://openalex.org/W3004545174","https://openalex.org/W3100451998","https://openalex.org/W3116313195","https://openalex.org/W3174716710","https://openalex.org/W6631190155","https://openalex.org/W6679825391","https://openalex.org/W6683510660","https://openalex.org/W6727807531","https://openalex.org/W6750388533","https://openalex.org/W6752770541","https://openalex.org/W6784941513","https://openalex.org/W6788112476"],"related_works":["https://openalex.org/W2548633793","https://openalex.org/W3013279174","https://openalex.org/W2941935829","https://openalex.org/W2400337198","https://openalex.org/W2354902965","https://openalex.org/W2596247554","https://openalex.org/W4301373556","https://openalex.org/W3132372214","https://openalex.org/W1984947604","https://openalex.org/W2754876402"],"abstract_inverted_index":{"Aspect-level":[0],"sentiment":[1,11,62],"analysis":[2],"(ALSA)":[3],"is":[4],"a":[5,14,18,52,96,111],"fine-grained":[6],"task":[7],"for":[8,60],"classifying":[9],"the":[10,23,33,44,106,115],"polarity":[12],"of":[13,22,47,98,114],"specific":[15],"aspect":[16],"in":[17,25,35,70,117],"sentence.":[19],"In":[20],"spite":[21],"progress":[24],"deep-learning":[26],"algorithms":[27],"within":[28],"natural":[29],"language":[30],"processing":[31,45],"domain,":[32],"methods":[34],"line":[36],"with":[37],"human":[38],"cognition":[39],"are":[40,65,73],"absent.":[41],"Inspired":[42],"by":[43],"principle":[46],"our":[48,102],"brain,":[49],"we":[50],"propose":[51],"Bilateral-brain-like":[53],"Semantic":[54],"and":[55,87],"Syntactic":[56],"Cognitive":[57],"Network":[58],"(BSSCN)":[59],"aspect-level":[61],"analysis.":[63],"There":[64],"four":[66],"major":[67],"modules":[68],"established":[69],"BSSCN,":[71],"which":[72,109],"left":[74],"hemisphere":[75,89],"semantic":[76,79,83,90],"activation":[77,91],"(LH-SA),":[78],"selection":[80],"(SS)":[81],"module,":[82],"integration":[84],"(SI)":[85],"module":[86],"right":[88],"(RH-SA).":[92],"Experimental":[93],"results":[94],"on":[95],"variety":[97],"datasets":[99],"show":[100],"that":[101],"model":[103],"stably":[104],"outperforms":[105],"widely-used":[107],"methods,":[108],"establishes":[110],"strong":[112],"evidence":[113],"effectiveness":[116],"ALSA":[118],"tasks.":[119]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}