{"id":"https://openalex.org/W7133190136","doi":"https://doi.org/10.1016/j.neucom.2026.133181","title":"A syntactic dependency pruning and prompt enhancement approach for aspect category sentiment analysis","display_name":"A syntactic dependency pruning and prompt enhancement approach for aspect category sentiment analysis","publication_year":2026,"publication_date":"2026-03-02","ids":{"openalex":"https://openalex.org/W7133190136","doi":"https://doi.org/10.1016/j.neucom.2026.133181"},"language":"en","primary_location":{"id":"doi:10.1016/j.neucom.2026.133181","is_oa":false,"landing_page_url":"https://doi.org/10.1016/j.neucom.2026.133181","pdf_url":null,"source":{"id":"https://openalex.org/S45693802","display_name":"Neurocomputing","issn_l":"0925-2312","issn":["0925-2312","1872-8286"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neurocomputing","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/A5101864835","display_name":"Wang Zeng","orcid":"https://orcid.org/0009-0002-5528-8198"},"institutions":[{"id":"https://openalex.org/I141649914","display_name":"Nanchang University","ror":"https://ror.org/042v6xz23","country_code":"CN","type":"education","lineage":["https://openalex.org/I141649914"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zeng Wang","raw_affiliation_strings":["Architecture and Design College, Nanchang University, Nanchang, 330031, China"],"affiliations":[{"raw_affiliation_string":"Architecture and Design College, Nanchang University, Nanchang, 330031, China","institution_ids":["https://openalex.org/I141649914"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102933291","display_name":"Liang Tian","orcid":"https://orcid.org/0000-0003-3945-116X"},"institutions":[{"id":"https://openalex.org/I141649914","display_name":"Nanchang University","ror":"https://ror.org/042v6xz23","country_code":"CN","type":"education","lineage":["https://openalex.org/I141649914"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liang Tian","raw_affiliation_strings":["School of Advanced Manufacturing, Nanchang University, Nanchang, 330031, China"],"affiliations":[{"raw_affiliation_string":"School of Advanced Manufacturing, Nanchang University, Nanchang, 330031, China","institution_ids":["https://openalex.org/I141649914"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5127831072","display_name":"Wen-qi Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I141649914","display_name":"Nanchang University","ror":"https://ror.org/042v6xz23","country_code":"CN","type":"education","lineage":["https://openalex.org/I141649914"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wen-qi Yang","raw_affiliation_strings":["Architecture and Design College, Nanchang University, Nanchang, 330031, China"],"affiliations":[{"raw_affiliation_string":"Architecture and Design College, Nanchang University, Nanchang, 330031, China","institution_ids":["https://openalex.org/I141649914"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048671319","display_name":"Xingwang Zhong","orcid":null},"institutions":[{"id":"https://openalex.org/I141649914","display_name":"Nanchang University","ror":"https://ror.org/042v6xz23","country_code":"CN","type":"education","lineage":["https://openalex.org/I141649914"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xing-wang Zhong","raw_affiliation_strings":["School of Advanced Manufacturing, Nanchang University, Nanchang, 330031, China"],"affiliations":[{"raw_affiliation_string":"School of Advanced Manufacturing, Nanchang University, Nanchang, 330031, China","institution_ids":["https://openalex.org/I141649914"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5127789611","display_name":"Le-ke Ge","orcid":null},"institutions":[{"id":"https://openalex.org/I141649914","display_name":"Nanchang University","ror":"https://ror.org/042v6xz23","country_code":"CN","type":"education","lineage":["https://openalex.org/I141649914"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Le-ke Ge","raw_affiliation_strings":["Architecture and Design College, Nanchang University, Nanchang, 330031, China"],"affiliations":[{"raw_affiliation_string":"Architecture and Design College, Nanchang University, Nanchang, 330031, China","institution_ids":["https://openalex.org/I141649914"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5101864835"],"corresponding_institution_ids":["https://openalex.org/I141649914"],"apc_list":{"value":2470,"currency":"USD","value_usd":2470},"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.77399914,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"679","issue":null,"first_page":"133181","last_page":"133181"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9391999840736389,"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":0.9391999840736389,"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/T10667","display_name":"Emotion and Mood Recognition","score":0.01510000042617321,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12488","display_name":"Mental Health via Writing","score":0.006200000178068876,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/pruning","display_name":"Pruning","score":0.6827999949455261},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.6787999868392944},{"id":"https://openalex.org/keywords/dependency","display_name":"Dependency (UML)","score":0.6773999929428101},{"id":"https://openalex.org/keywords/dependency-grammar","display_name":"Dependency grammar","score":0.6123999953269958},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.576200008392334},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.48510000109672546},{"id":"https://openalex.org/keywords/parsing","display_name":"Parsing","score":0.4740999937057495},{"id":"https://openalex.org/keywords/dependency-graph","display_name":"Dependency graph","score":0.4002000093460083}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8716999888420105},{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.6827999949455261},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.6787999868392944},{"id":"https://openalex.org/C19768560","wikidata":"https://www.wikidata.org/wiki/Q320727","display_name":"Dependency (UML)","level":2,"score":0.6773999929428101},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6617000102996826},{"id":"https://openalex.org/C164883195","wikidata":"https://www.wikidata.org/wiki/Q674834","display_name":"Dependency grammar","level":3,"score":0.6123999953269958},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.576200008392334},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5472999811172485},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.48510000109672546},{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.4740999937057495},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.43209999799728394},{"id":"https://openalex.org/C16311509","wikidata":"https://www.wikidata.org/wiki/Q4148050","display_name":"Dependency graph","level":3,"score":0.4002000093460083},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.37940001487731934},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.3700000047683716},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.3409000039100647},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.33239999413490295},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.31209999322891235},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.3050999939441681},{"id":"https://openalex.org/C90559484","wikidata":"https://www.wikidata.org/wiki/Q778379","display_name":"Expression (computer science)","level":2,"score":0.2953000068664551},{"id":"https://openalex.org/C85407183","wikidata":"https://www.wikidata.org/wiki/Q1045785","display_name":"Semantic network","level":2,"score":0.287200003862381},{"id":"https://openalex.org/C2987255567","wikidata":"https://www.wikidata.org/wiki/Q33002955","display_name":"Knowledge graph","level":2,"score":0.267300009727478},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.26589998602867126},{"id":"https://openalex.org/C197914299","wikidata":"https://www.wikidata.org/wiki/Q18650","display_name":"Semantic memory","level":3,"score":0.25690001249313354},{"id":"https://openalex.org/C2779439875","wikidata":"https://www.wikidata.org/wiki/Q1078276","display_name":"Natural language understanding","level":3,"score":0.2531000077724457}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1016/j.neucom.2026.133181","is_oa":false,"landing_page_url":"https://doi.org/10.1016/j.neucom.2026.133181","pdf_url":null,"source":{"id":"https://openalex.org/S45693802","display_name":"Neurocomputing","issn_l":"0925-2312","issn":["0925-2312","1872-8286"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neurocomputing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W2250214463","https://openalex.org/W2251294039","https://openalex.org/W2465978385","https://openalex.org/W2556605533","https://openalex.org/W2600278912","https://openalex.org/W2889191048","https://openalex.org/W2910215611","https://openalex.org/W2914820290","https://openalex.org/W2963337756","https://openalex.org/W2963341956","https://openalex.org/W2963494756","https://openalex.org/W2971014768","https://openalex.org/W3003963580","https://openalex.org/W3013708524","https://openalex.org/W3101540846","https://openalex.org/W3105960356","https://openalex.org/W3113712958","https://openalex.org/W3174959106","https://openalex.org/W3210070512","https://openalex.org/W4210293141","https://openalex.org/W4285175169","https://openalex.org/W4295857769","https://openalex.org/W4309567576","https://openalex.org/W4312908198","https://openalex.org/W4318205005","https://openalex.org/W4386954549","https://openalex.org/W4388209071","https://openalex.org/W4388591175","https://openalex.org/W4390350918","https://openalex.org/W4392246750","https://openalex.org/W4397031559","https://openalex.org/W4400936746","https://openalex.org/W4401827912","https://openalex.org/W4403707365","https://openalex.org/W4408167932","https://openalex.org/W4408962596","https://openalex.org/W4410106733"],"related_works":[],"abstract_inverted_index":null,"counts_by_year":[],"updated_date":"2026-03-09T07:00:12.390032","created_date":"2026-03-03T00:00:00"}
