{"id":"https://openalex.org/W2250966959","doi":"https://doi.org/10.3115/v1/s14-2124","title":"\u00daFAL: Using Hand-crafted Rules in Aspect Based Sentiment Analysis on Parsed Data","display_name":"\u00daFAL: Using Hand-crafted Rules in Aspect Based Sentiment Analysis on Parsed Data","publication_year":2014,"publication_date":"2014-01-01","ids":{"openalex":"https://openalex.org/W2250966959","doi":"https://doi.org/10.3115/v1/s14-2124","mag":"2250966959"},"language":"en","primary_location":{"id":"doi:10.3115/v1/s14-2124","is_oa":true,"landing_page_url":"https://doi.org/10.3115/v1/s14-2124","pdf_url":"https://aclanthology.org/S14-2124.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":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://aclanthology.org/S14-2124.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5004768549","display_name":"Kate\u0159ina Veselovsk\u00e1","orcid":"https://orcid.org/0000-0003-0184-956X"},"institutions":[{"id":"https://openalex.org/I21250087","display_name":"Charles University","ror":"https://ror.org/024d6js02","country_code":"CZ","type":"education","lineage":["https://openalex.org/I21250087"]}],"countries":["CZ"],"is_corresponding":false,"raw_author_name":"Kate\u0159ina Veselovsk\u00e1","raw_affiliation_strings":["Charles University in Prague, Faculty of Mathematics and Physics Institute of Formal and Applied Linguistics Malostransk\u00e9 n\u00e1m\u011bst\u00ed 25, Prague, Czech Republic"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Charles University in Prague, Faculty of Mathematics and Physics Institute of Formal and Applied Linguistics Malostransk\u00e9 n\u00e1m\u011bst\u00ed 25, Prague, Czech Republic","institution_ids":["https://openalex.org/I21250087"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006564889","display_name":"Ale\u0161 Tamchyna","orcid":null},"institutions":[{"id":"https://openalex.org/I21250087","display_name":"Charles University","ror":"https://ror.org/024d6js02","country_code":"CZ","type":"education","lineage":["https://openalex.org/I21250087"]}],"countries":["CZ"],"is_corresponding":false,"raw_author_name":"Ale\u0161 Tamchyna","raw_affiliation_strings":["Charles University in Prague, Faculty of Mathematics and Physics Institute of Formal and Applied Linguistics Malostransk nmst 25, Prague, Czech Republic","Charles University in Prague, Faculty of Mathematics and Physics Institute of Formal and Applied Linguistics Malostransk\u00e9 n\u00e1m\u011bst\u00ed 25, Prague, Czech Republic"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Charles University in Prague, Faculty of Mathematics and Physics Institute of Formal and Applied Linguistics Malostransk nmst 25, Prague, Czech Republic","institution_ids":["https://openalex.org/I21250087"]},{"raw_affiliation_string":"Charles University in Prague, Faculty of Mathematics and Physics Institute of Formal and Applied Linguistics Malostransk\u00e9 n\u00e1m\u011bst\u00ed 25, Prague, Czech Republic","institution_ids":["https://openalex.org/I21250087"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I21250087"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":7,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"694","last_page":"698"},"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":0.9962000250816345,"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":0.9918000102043152,"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":0.8035451769828796},{"id":"https://openalex.org/keywords/polarity","display_name":"Polarity (international relations)","score":0.7208715081214905},{"id":"https://openalex.org/keywords/wordnet","display_name":"WordNet","score":0.6940524578094482},{"id":"https://openalex.org/keywords/parsing","display_name":"Parsing","score":0.6886453032493591},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6440021395683289},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.5996943712234497},{"id":"https://openalex.org/keywords/dependency","display_name":"Dependency (UML)","score":0.5942500829696655},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5853939652442932},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.5482282638549805},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5442225933074951},{"id":"https://openalex.org/keywords/workflow","display_name":"Workflow","score":0.4257763624191284},{"id":"https://openalex.org/keywords/dependency-grammar","display_name":"Dependency grammar","score":0.42507654428482056},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.08770552277565002}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8035451769828796},{"id":"https://openalex.org/C2777361361","wikidata":"https://www.wikidata.org/wiki/Q1112585","display_name":"Polarity (international relations)","level":3,"score":0.7208715081214905},{"id":"https://openalex.org/C157659113","wikidata":"https://www.wikidata.org/wiki/Q533822","display_name":"WordNet","level":2,"score":0.6940524578094482},{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.6886453032493591},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6440021395683289},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.5996943712234497},{"id":"https://openalex.org/C19768560","wikidata":"https://www.wikidata.org/wiki/Q320727","display_name":"Dependency (UML)","level":2,"score":0.5942500829696655},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5853939652442932},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.5482282638549805},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5442225933074951},{"id":"https://openalex.org/C177212765","wikidata":"https://www.wikidata.org/wiki/Q627335","display_name":"Workflow","level":2,"score":0.4257763624191284},{"id":"https://openalex.org/C164883195","wikidata":"https://www.wikidata.org/wiki/Q674834","display_name":"Dependency grammar","level":3,"score":0.42507654428482056},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.08770552277565002},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3115/v1/s14-2124","is_oa":true,"landing_page_url":"https://doi.org/10.3115/v1/s14-2124","pdf_url":"https://aclanthology.org/S14-2124.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/s14-2124","is_oa":true,"landing_page_url":"https://doi.org/10.3115/v1/s14-2124","pdf_url":"https://aclanthology.org/S14-2124.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":[{"id":"https://openalex.org/G7766700604","display_name":"LINDAT-CLARIN: Institute for analysis, processing and distribution of linguistic data","funder_award_id":"LM2010013","funder_id":"https://openalex.org/F4320321005","funder_display_name":"Ministerstvo \u0160kolstv\u00ed, Ml\u00e1de\u017ee a T\u011blov\u00fdchovy"}],"funders":[{"id":"https://openalex.org/F4320321005","display_name":"Ministerstvo \u0160kolstv\u00ed, Ml\u00e1de\u017ee a T\u011blov\u00fdchovy","ror":"https://ror.org/037n8p820"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2250966959.pdf","grobid_xml":"https://content.openalex.org/works/W2250966959.grobid-xml"},"referenced_works_count":17,"referenced_works":["https://openalex.org/W18127387","https://openalex.org/W1631260214","https://openalex.org/W2014902591","https://openalex.org/W2038721957","https://openalex.org/W2067533161","https://openalex.org/W2072776834","https://openalex.org/W2081375810","https://openalex.org/W2084046180","https://openalex.org/W2122922578","https://openalex.org/W2129294185","https://openalex.org/W2141972832","https://openalex.org/W2143027446","https://openalex.org/W2152400901","https://openalex.org/W2159457224","https://openalex.org/W2160660844","https://openalex.org/W2519011775","https://openalex.org/W4248506559"],"related_works":["https://openalex.org/W2472062886","https://openalex.org/W2251084681","https://openalex.org/W1984947604","https://openalex.org/W287510790","https://openalex.org/W2098784136","https://openalex.org/W2968543375","https://openalex.org/W2571817549","https://openalex.org/W1541975828","https://openalex.org/W2888625260","https://openalex.org/W3035970863"],"abstract_inverted_index":{"This":[0],"paper":[1],"describes":[2],"our":[3],"submission":[4],"to":[5,28],"Se-mEval":[6],"2014":[7],"Task":[8],"4":[9],"1":[10],"(aspect":[11,48],"based":[12,19],"sentiment":[13],"analysis).":[14],"The":[15],"current":[16],"work":[17],"is":[18],"on":[20,74],"the":[21,30,100],"assumption":[22],"that":[23],"it":[24],"could":[25],"be":[26],"advantageous":[27],"connect":[29],"subtasks":[31,47],"into":[32],"one":[33],"workflow,":[34],"not":[35],"necessarily":[36],"following":[37],"their":[38,85],"given":[39],"order.":[40],"We":[41],"took":[42],"part":[43],"in":[44],"all":[45],"four":[46],"term":[49,52],"extraction,":[50],"aspect":[51,54,57,79],"polarity,":[53],"category":[55,58],"detection,":[56],"polarity),":[59],"using":[60,93],"polarity":[61],"items":[62],"detection":[63],"via":[64],"various":[65],"subjectivity":[66],"lexicons":[67],"and":[68],"employing":[69],"a":[70,90],"rule-based":[71],"system":[72],"applied":[73],"dependency":[75],"data.":[76],"To":[77],"determine":[78],"categories,":[80],"we":[81,98],"simply":[82],"look":[83],"up":[84],"WordNet":[86],"hypernyms.":[87],"For":[88],"such":[89],"basic":[91],"method":[92],"no":[94],"machine":[95],"learning":[96],"techniques,":[97],"consider":[99],"results":[101],"rather":[102],"satisfactory.":[103]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}