{"id":"https://openalex.org/W4402670587","doi":"https://doi.org/10.18653/v1/2024.wassa-1.6","title":"LLaMA-Based Models for Aspect-Based Sentiment Analysis","display_name":"LLaMA-Based Models for Aspect-Based Sentiment Analysis","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4402670587","doi":"https://doi.org/10.18653/v1/2024.wassa-1.6"},"language":"en","primary_location":{"id":"doi:10.18653/v1/2024.wassa-1.6","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2024.wassa-1.6","pdf_url":"https://aclanthology.org/2024.wassa-1.6.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 14th Workshop on Computational Approaches to Subjectivity, Sentiment, &amp; Social Media Analysis","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://aclanthology.org/2024.wassa-1.6.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5072744228","display_name":"Jakub \u0160m\u00edd","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jakub \u0160m\u00edd","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069604241","display_name":"Pavel P\u0159ib\u00e1\u0148","orcid":"https://orcid.org/0000-0002-8744-8726"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Pavel Priban","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5028888105","display_name":"Pavel Kral","orcid":"https://orcid.org/0000-0003-1879-928X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Pavel Kral","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.9323,"has_fulltext":true,"cited_by_count":14,"citation_normalized_percentile":{"value":0.96420954,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"63","last_page":"70"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9674999713897705,"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":0.9674999713897705,"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":0.958299994468689,"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":0.651606023311615},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.5056288242340088},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33196622133255005}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.651606023311615},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.5056288242340088},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33196622133255005}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.18653/v1/2024.wassa-1.6","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2024.wassa-1.6","pdf_url":"https://aclanthology.org/2024.wassa-1.6.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 14th Workshop on Computational Approaches to Subjectivity, Sentiment, &amp; Social Media Analysis","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2508.08649","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2508.08649","pdf_url":"https://arxiv.org/pdf/2508.08649","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"doi:10.18653/v1/2024.wassa-1.6","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2024.wassa-1.6","pdf_url":"https://aclanthology.org/2024.wassa-1.6.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 14th Workshop on Computational Approaches to Subjectivity, Sentiment, &amp; Social Media Analysis","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4402670587.pdf"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W3089396779","https://openalex.org/W2548633793","https://openalex.org/W3013279174","https://openalex.org/W2941935829","https://openalex.org/W2596247554","https://openalex.org/W4301373556","https://openalex.org/W3132372214","https://openalex.org/W4224284088"],"abstract_inverted_index":{"While":[0],"large":[1],"language":[2],"models":[3,73],"(LLMs)":[4],"show":[5],"promise":[6],"for":[7,29,42],"various":[8],"tasks,":[9],"their":[10],"performance":[11,51],"in":[12,68,75],"compound":[13],"aspect-based":[14],"sentiment":[15],"analysis":[16,89],"(ABSA)":[17],"tasks":[18,54],"lags":[19],"behind":[20],"fine-tuned":[21,28,41,62,83,95],"models.":[22,47,96],"However,":[23,71],"the":[24,36,50,61],"potential":[25],"of":[26,38],"LLMs":[27,40],"ABSA":[30],"remains":[31],"unexplored.":[32],"This":[33],"paper":[34],"examines":[35],"capabilities":[37],"open-source":[39],"ABSA,":[43],"focusing":[44],"on":[45],"LLaMA-based":[46],"We":[48],"evaluate":[49],"across":[52],"four":[53],"and":[55,77],"eight":[56],"English":[57],"datasets,":[58],"finding":[59],"that":[60],"Orca~2":[63],"model":[64],"surpasses":[65],"state-of-the-art":[66],"results":[67],"all":[69,72],"tasks.":[70],"struggle":[74],"zero-shot":[76],"few-shot":[78],"scenarios":[79],"compared":[80],"to":[81,90],"fully":[82],"ones.":[84],"Additionally,":[85],"we":[86],"conduct":[87],"error":[88],"identify":[91],"challenges":[92],"faced":[93],"by":[94]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":1}],"updated_date":"2026-08-05T07:39:15.569665","created_date":"2025-10-10T00:00:00"}
