{"id":"https://openalex.org/W2943317223","doi":"https://doi.org/10.1145/3297280.3297525","title":"ALDONA","display_name":"ALDONA","publication_year":2019,"publication_date":"2019-04-08","ids":{"openalex":"https://openalex.org/W2943317223","doi":"https://doi.org/10.1145/3297280.3297525","mag":"2943317223"},"language":"en","primary_location":{"id":"doi:10.1145/3297280.3297525","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3297280.3297525","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing","raw_type":"proceedings-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/A5084882745","display_name":"Donatas Me\u0161kel\u0117","orcid":null},"institutions":[{"id":"https://openalex.org/I913958620","display_name":"Erasmus University Rotterdam","ror":"https://ror.org/057w15z03","country_code":"NL","type":"education","lineage":["https://openalex.org/I913958620"]}],"countries":["NL"],"is_corresponding":true,"raw_author_name":"Donatas Me\u0161kel\u0117","raw_affiliation_strings":["Erasmus University Rotterdam, Rotterdam, the Netherlands"],"affiliations":[{"raw_affiliation_string":"Erasmus University Rotterdam, Rotterdam, the Netherlands","institution_ids":["https://openalex.org/I913958620"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044867921","display_name":"Flavius Fr\u0103sincar","orcid":"https://orcid.org/0000-0002-8031-758X"},"institutions":[{"id":"https://openalex.org/I913958620","display_name":"Erasmus University Rotterdam","ror":"https://ror.org/057w15z03","country_code":"NL","type":"education","lineage":["https://openalex.org/I913958620"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Flavius Frasincar","raw_affiliation_strings":["Erasmus University Rotterdam, Rotterdam, the Netherlands"],"affiliations":[{"raw_affiliation_string":"Erasmus University Rotterdam, Rotterdam, the Netherlands","institution_ids":["https://openalex.org/I913958620"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5084882745"],"corresponding_institution_ids":["https://openalex.org/I913958620"],"apc_list":null,"apc_paid":null,"fwci":1.8202,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.88908186,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"2489","last_page":"2496"},"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9954000115394592,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8278746604919434},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.6879541873931885},{"id":"https://openalex.org/keywords/polarity","display_name":"Polarity (international relations)","score":0.6699475049972534},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.6603580713272095},{"id":"https://openalex.org/keywords/ontology","display_name":"Ontology","score":0.6216073036193848},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6115575432777405},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.6095663905143738},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6034891605377197},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5149991512298584},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5146892666816711},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.50604647397995},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.4457017779350281},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.4268485903739929},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.06152525544166565},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.0598655641078949}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8278746604919434},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.6879541873931885},{"id":"https://openalex.org/C2777361361","wikidata":"https://www.wikidata.org/wiki/Q1112585","display_name":"Polarity (international relations)","level":3,"score":0.6699475049972534},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.6603580713272095},{"id":"https://openalex.org/C25810664","wikidata":"https://www.wikidata.org/wiki/Q44325","display_name":"Ontology","level":2,"score":0.6216073036193848},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6115575432777405},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.6095663905143738},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6034891605377197},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5149991512298584},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5146892666816711},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.50604647397995},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.4457017779350281},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.4268485903739929},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.06152525544166565},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0598655641078949},{"id":"https://openalex.org/C1491633281","wikidata":"https://www.wikidata.org/wiki/Q7868","display_name":"Cell","level":2,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3297280.3297525","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3297280.3297525","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing","raw_type":"proceedings-article"},{"id":"pmh:eur:oai:pure.eur.nl:publications/231540e2-2fa8-452f-b835-8565d66bac51","is_oa":false,"landing_page_url":"https://pure.eur.nl/en/publications/231540e2-2fa8-452f-b835-8565d66bac51","pdf_url":null,"source":{"id":"https://openalex.org/S4306401843","display_name":"Data Archiving and Networked Services (DANS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1322597698","host_organization_name":"Royal Netherlands Academy of Arts and Sciences","host_organization_lineage":["https://openalex.org/I1322597698"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"34th Symposium on Applied Computing (SAC 2019), 2489 - 2496","raw_type":"info:eu-repo/semantics/conferencepaper"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.550000011920929,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W2044252347","https://openalex.org/W2048658075","https://openalex.org/W2049342557","https://openalex.org/W2064675550","https://openalex.org/W2133109597","https://openalex.org/W2157331557","https://openalex.org/W2166706824","https://openalex.org/W2227969856","https://openalex.org/W2251648804","https://openalex.org/W2253519362","https://openalex.org/W2306941105","https://openalex.org/W2427312199","https://openalex.org/W2465978385","https://openalex.org/W2483327705","https://openalex.org/W2529471236","https://openalex.org/W2589704354","https://openalex.org/W2757541972","https://openalex.org/W2789190634","https://openalex.org/W2882319491","https://openalex.org/W2963168371","https://openalex.org/W2964288660","https://openalex.org/W3098074755","https://openalex.org/W4233906183"],"related_works":["https://openalex.org/W2548633793","https://openalex.org/W3013279174","https://openalex.org/W2941935829","https://openalex.org/W2400337198","https://openalex.org/W2354902965","https://openalex.org/W2596247554","https://openalex.org/W3132372214","https://openalex.org/W4224284088","https://openalex.org/W4286571989","https://openalex.org/W1984947604"],"abstract_inverted_index":{"Sentences":[0],"containing":[1],"several":[2,149],"different":[3,25],"polarity":[4,33],"aspects":[5],"cause":[6],"one":[7],"of":[8,84],"the":[9,19,32,38,42,48,76,82,97,103,110,115,128],"main":[10],"problems":[11,77],"in":[12,87,122],"sentiment":[13,29,49,62,158],"analysis.":[14],"Depending":[15],"on":[16,27,91,134,140],"an":[17,92],"aspect,":[18],"same":[20],"context":[21,99],"words":[22],"can":[23,34],"have":[24,143],"effects":[26],"its":[28,154],"value.":[30],"Additionally,":[31],"be":[35],"influenced":[36],"by":[37],"domain-specific":[39],"knowledge,":[40],"showing":[41],"necessity":[43],"to":[44,74,108,126,147,156],"incorporate":[45],"it":[46],"into":[47],"classification.":[50,159],"In":[51],"this":[52],"paper":[53],"we":[54,95],"present":[55],"a":[56,88,135],"hybrid":[57],"solution":[58],"for":[59],"sentence-level":[60],"aspect-based":[61,157],"analysis":[63],"using":[64],"A":[65],"Lexicalised":[66],"Domain":[67],"Ontology":[68],"and":[69,152],"Neural":[70],"Attention":[71],"(ALDONA)":[72],"model":[73],"handle":[75,109],"mentioned":[78],"above.":[79],"To":[80],"measure":[81],"influence":[83],"each":[85],"word":[86],"given":[89],"sentence":[90],"aspect's":[93],"polarity,":[94],"introduce":[96],"bidirectional":[98],"attention":[100],"mechanism.":[101],"Moreover,":[102],"classification":[104],"module":[105],"is":[106,124],"designed":[107],"sentence's":[111],"complex":[112],"structure.":[113],"Finally,":[114],"manually":[116],"created":[117],"lexicalised":[118],"domain":[119],"ontology":[120],"(represented":[121],"OWL)":[123],"integrated":[125],"exploit":[127],"field-specific":[129],"knowledge.":[130],"Computational":[131],"results":[132],"obtained":[133],"benchmark":[136],"data":[137],"set":[138],"based":[139],"Web":[141],"reviews":[142],"shown":[144],"ALDONA's":[145],"ability":[146],"outperform":[148],"state-of-the-art":[150],"models":[151],"stress":[153],"contribution":[155]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":6}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2019-05-09T00:00:00"}