{"id":"https://openalex.org/W2164358929","doi":"https://doi.org/10.3115/v1/s14-2149","title":"XRCE: Hybrid Classification for Aspect-based Sentiment Analysis","display_name":"XRCE: Hybrid Classification for Aspect-based Sentiment Analysis","publication_year":2014,"publication_date":"2014-01-01","ids":{"openalex":"https://openalex.org/W2164358929","doi":"https://doi.org/10.3115/v1/s14-2149","mag":"2164358929"},"language":"en","primary_location":{"id":"doi:10.3115/v1/s14-2149","is_oa":true,"landing_page_url":"https://doi.org/10.3115/v1/s14-2149","pdf_url":"https://aclanthology.org/S14-2149.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 8th International Workshop on Semantic Evaluation (SemEval 2014)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://aclanthology.org/S14-2149.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5105462436","display_name":"Caroline Brun","orcid":"https://orcid.org/0000-0003-2824-5221"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Caroline Brun","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081413017","display_name":"Diana Nicoleta Popa","orcid":"https://orcid.org/0000-0001-7039-3792"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Diana Nicoleta Popa","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5015467662","display_name":"Claude Roux","orcid":"https://orcid.org/0000-0003-3610-420X"},"institutions":[{"id":"https://openalex.org/I4210132870","display_name":"Xerox (United States)","ror":"https://ror.org/03jwzwq24","country_code":"US","type":"company","lineage":["https://openalex.org/I4210132870"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Claude Roux","raw_affiliation_strings":["Xerox"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xerox","institution_ids":["https://openalex.org/I4210132870"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":9.7269,"has_fulltext":false,"cited_by_count":82,"citation_normalized_percentile":{"value":0.98103801,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"838","last_page":"842"},"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":0.9933000206947327,"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":0.9811000227928162,"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":0.7055782079696655},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.683867871761322},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4444100558757782},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.35614877939224243}],"concepts":[{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.7055782079696655},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.683867871761322},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4444100558757782},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.35614877939224243}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3115/v1/s14-2149","is_oa":true,"landing_page_url":"https://doi.org/10.3115/v1/s14-2149","pdf_url":"https://aclanthology.org/S14-2149.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 8th International Workshop on Semantic Evaluation (SemEval 2014)","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.3115/v1/s14-2149","is_oa":true,"landing_page_url":"https://doi.org/10.3115/v1/s14-2149","pdf_url":"https://aclanthology.org/S14-2149.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 8th International Workshop on Semantic Evaluation (SemEval 2014)","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W2164358929.pdf"},"referenced_works_count":10,"referenced_works":["https://openalex.org/W22895256","https://openalex.org/W822236567","https://openalex.org/W2049493498","https://openalex.org/W2108646579","https://openalex.org/W2112422413","https://openalex.org/W2118585731","https://openalex.org/W2150956310","https://openalex.org/W2160660844","https://openalex.org/W2251648804","https://openalex.org/W2251845524"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2548633793","https://openalex.org/W3089396779","https://openalex.org/W2596247554","https://openalex.org/W4301373556","https://openalex.org/W2941935829","https://openalex.org/W3013279174","https://openalex.org/W4317653575","https://openalex.org/W3132372214","https://openalex.org/W3204019825"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,7],"present":[4,49],"the":[5,11,50,57,62],"system":[6,21],"have":[8],"developed":[9],"for":[10,61],"SemEval-2014":[12],"Task":[13],"4":[14],"dedicated":[15,38],"to":[16,31,39],"Aspect-Based":[17],"Sentiment":[18],"Analysis.":[19],"The":[20],"is":[22],"based":[23],"on":[24,56],"a":[25],"robust":[26],"parser":[27],"that":[28],"provides":[29],"information":[30],"feed":[32],"different":[33],"classifiers":[34],"with":[35],"linguistic":[36],"features":[37],"aspect":[40,43,65,71],"categories":[41,44],"and":[42,67,70,73],"polarity":[45],"classification.":[46],"We":[47],"mainly":[48],"work":[51],"which":[52],"has":[53],"been":[54],"done":[55],"restaurant":[58],"domain":[59],"1":[60],"four":[63],"subtasks,":[64],"term":[66,72],"category":[68,74],"detection":[69],"polarity.":[75]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":14},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":13},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":9},{"year":2016,"cited_by_count":5},{"year":2015,"cited_by_count":6},{"year":2014,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
