{"id":"https://openalex.org/W4414214372","doi":"https://doi.org/10.3390/sym17091492","title":"Dual-Tree-Guided Aspect-Based Sentiment Analysis Incorporating Structure-Aware Semantic Refinement and Graph Attention","display_name":"Dual-Tree-Guided Aspect-Based Sentiment Analysis Incorporating Structure-Aware Semantic Refinement and Graph Attention","publication_year":2025,"publication_date":"2025-09-09","ids":{"openalex":"https://openalex.org/W4414214372","doi":"https://doi.org/10.3390/sym17091492"},"language":"en","primary_location":{"id":"doi:10.3390/sym17091492","is_oa":true,"landing_page_url":"https://doi.org/10.3390/sym17091492","pdf_url":"https://www.mdpi.com/2073-8994/17/9/1492/pdf?version=1757391760","source":{"id":"https://openalex.org/S190787756","display_name":"Symmetry","issn_l":"2073-8994","issn":["2073-8994"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Symmetry","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2073-8994/17/9/1492/pdf?version=1757391760","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5054362722","display_name":"Xinyu Wang","orcid":"https://orcid.org/0009-0001-4709-8215"},"institutions":[{"id":"https://openalex.org/I4210119087","display_name":"North China Institute of Aerospace Engineering","ror":"https://ror.org/02m7msy24","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210119087"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinyu Wang","raw_affiliation_strings":["School of Electronic and Control Engineering, North China Institute of Aerospace Engineering, Langfang 065000, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic and Control Engineering, North China Institute of Aerospace Engineering, Langfang 065000, China","institution_ids":["https://openalex.org/I4210119087"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060896474","display_name":"Yuhang Gao","orcid":"https://orcid.org/0009-0006-1645-2636"},"institutions":[{"id":"https://openalex.org/I4210119087","display_name":"North China Institute of Aerospace Engineering","ror":"https://ror.org/02m7msy24","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210119087"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuhang Gao","raw_affiliation_strings":["School of Electronic and Control Engineering, North China Institute of Aerospace Engineering, Langfang 065000, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic and Control Engineering, North China Institute of Aerospace Engineering, Langfang 065000, China","institution_ids":["https://openalex.org/I4210119087"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101019846","display_name":"Xiao Lv","orcid":null},"institutions":[{"id":"https://openalex.org/I4210119087","display_name":"North China Institute of Aerospace Engineering","ror":"https://ror.org/02m7msy24","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210119087"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lv Xiao","raw_affiliation_strings":["School of Electronic and Control Engineering, North China Institute of Aerospace Engineering, Langfang 065000, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic and Control Engineering, North China Institute of Aerospace Engineering, Langfang 065000, China","institution_ids":["https://openalex.org/I4210119087"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101041714","display_name":"Kun Zhong","orcid":null},"institutions":[{"id":"https://openalex.org/I4210141776","display_name":"China XD Group (China)","ror":"https://ror.org/04ceqst84","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210141776"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kun Zhong","raw_affiliation_strings":["China Xiongan Group, Xiong\u2019an 071700, China","China Xiongan Group, Xiong'an 071700, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China Xiongan Group, Xiong\u2019an 071700, China","institution_ids":["https://openalex.org/I4210141776"]},{"raw_affiliation_string":"China Xiongan Group, Xiong'an 071700, China","institution_ids":["https://openalex.org/I4210141776"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Peisen Tan","orcid":null},"institutions":[{"id":"https://openalex.org/I4210119087","display_name":"North China Institute of Aerospace Engineering","ror":"https://ror.org/02m7msy24","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210119087"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peisen Tan","raw_affiliation_strings":["School of Electronic and Control Engineering, North China Institute of Aerospace Engineering, Langfang 065000, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic and Control Engineering, North China Institute of Aerospace Engineering, Langfang 065000, China","institution_ids":["https://openalex.org/I4210119087"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101102598","display_name":"Zhaobin Tan","orcid":"https://orcid.org/0009-0006-6241-1237"},"institutions":[{"id":"https://openalex.org/I4210119087","display_name":"North China Institute of Aerospace Engineering","ror":"https://ror.org/02m7msy24","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210119087"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhaobin Tan","raw_affiliation_strings":["School of Electronic and Control Engineering, North China Institute of Aerospace Engineering, Langfang 065000, China"],"raw_orcid":"https://orcid.org/0009-0006-6241-1237","affiliations":[{"raw_affiliation_string":"School of Electronic and Control Engineering, North China Institute of Aerospace Engineering, Langfang 065000, China","institution_ids":["https://openalex.org/I4210119087"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5101102598"],"corresponding_institution_ids":["https://openalex.org/I4210119087"],"apc_list":{"value":2000,"currency":"CHF","value_usd":2227},"apc_paid":{"value":2000,"currency":"CHF","value_usd":2227},"fwci":1.2699,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.85598606,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"17","issue":"9","first_page":"1492","last_page":"1492"},"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/T10028","display_name":"Topic Modeling","score":0.9937000274658203,"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":0.9822999835014343,"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/pooling","display_name":"Pooling","score":0.5878000259399414},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5605000257492065},{"id":"https://openalex.org/keywords/dependency","display_name":"Dependency (UML)","score":0.5473999977111816},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.48510000109672546},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.45590001344680786},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.39079999923706055},{"id":"https://openalex.org/keywords/fuse","display_name":"Fuse (electrical)","score":0.37630000710487366},{"id":"https://openalex.org/keywords/dependency-graph","display_name":"Dependency graph","score":0.33480000495910645}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8420000076293945},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5989999771118164},{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.5878000259399414},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5605000257492065},{"id":"https://openalex.org/C19768560","wikidata":"https://www.wikidata.org/wiki/Q320727","display_name":"Dependency (UML)","level":2,"score":0.5473999977111816},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.48510000109672546},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.45590001344680786},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4528000056743622},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.39079999923706055},{"id":"https://openalex.org/C141353440","wikidata":"https://www.wikidata.org/wiki/Q182221","display_name":"Fuse (electrical)","level":2,"score":0.37630000710487366},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3564000129699707},{"id":"https://openalex.org/C16311509","wikidata":"https://www.wikidata.org/wiki/Q4148050","display_name":"Dependency graph","level":3,"score":0.33480000495910645},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3345000147819519},{"id":"https://openalex.org/C163797641","wikidata":"https://www.wikidata.org/wiki/Q2067937","display_name":"Tree structure","level":3,"score":0.3294000029563904},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3273000121116638},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.31940001249313354},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.31700000166893005},{"id":"https://openalex.org/C2993807640","wikidata":"https://www.wikidata.org/wiki/Q103709453","display_name":"Attention network","level":2,"score":0.30239999294281006},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2903999984264374},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.2822999954223633},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.27140000462532043},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2709999978542328},{"id":"https://openalex.org/C130318100","wikidata":"https://www.wikidata.org/wiki/Q2268914","display_name":"Semantic similarity","level":2,"score":0.2590000033378601},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.2549000084400177}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3390/sym17091492","is_oa":true,"landing_page_url":"https://doi.org/10.3390/sym17091492","pdf_url":"https://www.mdpi.com/2073-8994/17/9/1492/pdf?version=1757391760","source":{"id":"https://openalex.org/S190787756","display_name":"Symmetry","issn_l":"2073-8994","issn":["2073-8994"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Symmetry","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.3390/sym17091492","is_oa":true,"landing_page_url":"https://doi.org/10.3390/sym17091492","pdf_url":"https://www.mdpi.com/2073-8994/17/9/1492/pdf?version=1757391760","source":{"id":"https://openalex.org/S190787756","display_name":"Symmetry","issn_l":"2073-8994","issn":["2073-8994"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Symmetry","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4414214372.pdf","grobid_xml":"https://content.openalex.org/works/W4414214372.grobid-xml"},"referenced_works_count":28,"referenced_works":["https://openalex.org/W2251124635","https://openalex.org/W2251792193","https://openalex.org/W2465978385","https://openalex.org/W2562607067","https://openalex.org/W2791643458","https://openalex.org/W2902307247","https://openalex.org/W2963168371","https://openalex.org/W2964164368","https://openalex.org/W2970583420","https://openalex.org/W2970748008","https://openalex.org/W2971014768","https://openalex.org/W2971220558","https://openalex.org/W3035529900","https://openalex.org/W3105174597","https://openalex.org/W3109958243","https://openalex.org/W3115055903","https://openalex.org/W3116312348","https://openalex.org/W3152989031","https://openalex.org/W3167287584","https://openalex.org/W3176719207","https://openalex.org/W4306711421","https://openalex.org/W4309739689","https://openalex.org/W4310236396","https://openalex.org/W4327695709","https://openalex.org/W4386602255","https://openalex.org/W4400255169","https://openalex.org/W4400869025","https://openalex.org/W4404649049"],"related_works":[],"abstract_inverted_index":{"This":[0],"work":[1],"addresses":[2],"the":[3,19,45,56,60,146,151],"broken":[4],"symmetry":[5],"in":[6,48],"syntactic\u2013semantic":[7],"representations":[8],"for":[9],"Aspect-Based":[10],"Sentiment":[11],"Analysis,":[12],"where":[13],"advancements":[14],"have":[15],"been":[16],"driven":[17],"by":[18,116],"use":[20],"of":[21,59,170],"pre-trained":[22],"language":[23],"models":[24],"to":[25,64,81],"achieve":[26],"contextual":[27],"understanding":[28],"and":[29,73,85,91,109,129,159,162,173],"graph":[30,122],"neural":[31],"networks":[32],"capturing":[33],"aspect\u2013opinion":[34,41],"dependencies":[35],"using":[36],"syntactic":[37,84],"trees.":[38,118],"However,":[39],"long-distance":[40],"pairs":[42],"pose":[43],"challenges:":[44],"structural":[46],"noise":[47,152],"dependency":[49,90,98],"trees":[50,62],"often":[51],"causes":[52],"erroneous":[53],"associations,":[54],"while":[55],"discrete":[57],"structure":[58],"constituent":[61,65,92,113,117],"leads":[63],"fragmentation.":[66],"In":[67],"this":[68],"paper,":[69],"we":[70],"propose":[71],"DySynGAT":[72],"introduce":[74],"a":[75],"Localized":[76],"Graph":[77],"Attention":[78],"Network":[79],"(LGAT)":[80],"fuse":[82],"bi-gram":[83],"semantic":[86,103,127],"information":[87],"from":[88,97],"both":[89],"trees,":[93],"effectively":[94],"mitigating":[95],"interference":[96],"tree":[99],"noise.":[100],"A":[101],"dynamic":[102],"enhancement":[104],"module":[105],"efficiently":[106],"integrates":[107],"local":[108],"global":[110],"semantics,":[111],"alleviating":[112],"fragmentation":[114],"caused":[115],"An":[119],"aspect\u2013context":[120],"interaction":[121],"(ACIG),":[123],"built":[124],"upon":[125],"minimal":[126],"segmentation":[128],"jointly":[130],"enhanced":[131],"features,":[132,149],"filters":[133],"out":[134],"noisy":[135],"cross-clause":[136],"edges.":[137],"Spatial":[138],"reduction":[139],"attention":[140],"(SRA)":[141],"with":[142],"mean":[143],"pooling":[144],"compresses":[145],"redundant":[147],"sequential":[148],"reducing":[150],"under":[153],"long-range":[154],"dependencies.":[155],"Experiments":[156],"on":[157],"foods":[158],"beverages,":[160],"electronics,":[161],"user":[163],"review":[164],"datasets":[165],"demonstrate":[166],"F1":[167],"score":[168],"improvements":[169],"0.55%,":[171],"3.55%,":[172],"1.75%":[174],"over":[175],"SAGAT-BERT,":[176],"demonstrating":[177],"strong":[178],"cross-domain":[179],"robustness.":[180]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}