{"id":"https://openalex.org/W2946495921","doi":"https://doi.org/10.1109/rivf.2019.8713662","title":"Instance-Based Enrichment of Sentiment Ontology","display_name":"Instance-Based Enrichment of Sentiment Ontology","publication_year":2019,"publication_date":"2019-03-01","ids":{"openalex":"https://openalex.org/W2946495921","doi":"https://doi.org/10.1109/rivf.2019.8713662","mag":"2946495921"},"language":"en","primary_location":{"id":"doi:10.1109/rivf.2019.8713662","is_oa":false,"landing_page_url":"https://doi.org/10.1109/rivf.2019.8713662","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE-RIVF International Conference on Computing and Communication Technologies (RIVF)","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/A5025408280","display_name":"Th\u00fay L\u00ea Th\u1ecb","orcid":"https://orcid.org/0000-0002-6434-9426"},"institutions":[{"id":"https://openalex.org/I47265099","display_name":"Ho Chi Minh City University of Technology","ror":"https://ror.org/04qva2324","country_code":"VN","type":"education","lineage":["https://openalex.org/I123565023","https://openalex.org/I47265099"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Thuy Le Thi","raw_affiliation_strings":["Dept. Computer Science, University of Technology, Ho Chi Minh, Vietnam"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. Computer Science, University of Technology, Ho Chi Minh, Vietnam","institution_ids":["https://openalex.org/I47265099"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067278180","display_name":"Tuoi Phan Thi","orcid":null},"institutions":[{"id":"https://openalex.org/I47265099","display_name":"Ho Chi Minh City University of Technology","ror":"https://ror.org/04qva2324","country_code":"VN","type":"education","lineage":["https://openalex.org/I123565023","https://openalex.org/I47265099"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Tuoi Phan Thi","raw_affiliation_strings":["Dept. Computer Science, University of Technology, Ho Chi Minh, Vietnam"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. Computer Science, University of Technology, Ho Chi Minh, Vietnam","institution_ids":["https://openalex.org/I47265099"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084185465","display_name":"Tho Quan Thanh","orcid":null},"institutions":[{"id":"https://openalex.org/I47265099","display_name":"Ho Chi Minh City University of Technology","ror":"https://ror.org/04qva2324","country_code":"VN","type":"education","lineage":["https://openalex.org/I123565023","https://openalex.org/I47265099"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Tho Quan Thanh","raw_affiliation_strings":["Dept. Computer Science, University of Technology, Ho Chi Minh, Vietnam"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. Computer Science, University of Technology, Ho Chi Minh, Vietnam","institution_ids":["https://openalex.org/I47265099"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I47265099"],"apc_list":null,"apc_paid":null,"fwci":0.1446,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.56329565,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9994000196456909,"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/T10028","display_name":"Topic Modeling","score":0.9994000196456909,"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9993000030517578,"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":0.9991999864578247,"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":0.865639328956604},{"id":"https://openalex.org/keywords/wordnet","display_name":"WordNet","score":0.8419467210769653},{"id":"https://openalex.org/keywords/ontology","display_name":"Ontology","score":0.7886718511581421},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6795235276222229},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.5974060297012329},{"id":"https://openalex.org/keywords/lexicon","display_name":"Lexicon","score":0.5956066846847534},{"id":"https://openalex.org/keywords/coreference","display_name":"Coreference","score":0.5666823387145996},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5504261255264282},{"id":"https://openalex.org/keywords/upper-ontology","display_name":"Upper ontology","score":0.5372393727302551},{"id":"https://openalex.org/keywords/dependency","display_name":"Dependency (UML)","score":0.5249730944633484},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5044516324996948},{"id":"https://openalex.org/keywords/ontology-based-data-integration","display_name":"Ontology-based data integration","score":0.4704301059246063},{"id":"https://openalex.org/keywords/suggested-upper-merged-ontology","display_name":"Suggested Upper Merged Ontology","score":0.45465943217277527},{"id":"https://openalex.org/keywords/dependency-grammar","display_name":"Dependency grammar","score":0.4286350905895233},{"id":"https://openalex.org/keywords/ontology-inference-layer","display_name":"Ontology Inference Layer","score":0.42660781741142273},{"id":"https://openalex.org/keywords/resolution","display_name":"Resolution (logic)","score":0.42257726192474365},{"id":"https://openalex.org/keywords/grammar","display_name":"Grammar","score":0.41244396567344666},{"id":"https://openalex.org/keywords/semantic-web","display_name":"Semantic Web","score":0.2520906627178192},{"id":"https://openalex.org/keywords/owl-s","display_name":"OWL-S","score":0.16648513078689575},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.11421984434127808},{"id":"https://openalex.org/keywords/semantic-web-stack","display_name":"Semantic Web Stack","score":0.09109282493591309}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.865639328956604},{"id":"https://openalex.org/C157659113","wikidata":"https://www.wikidata.org/wiki/Q533822","display_name":"WordNet","level":2,"score":0.8419467210769653},{"id":"https://openalex.org/C25810664","wikidata":"https://www.wikidata.org/wiki/Q44325","display_name":"Ontology","level":2,"score":0.7886718511581421},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6795235276222229},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.5974060297012329},{"id":"https://openalex.org/C2778121359","wikidata":"https://www.wikidata.org/wiki/Q8096","display_name":"Lexicon","level":2,"score":0.5956066846847534},{"id":"https://openalex.org/C28076734","wikidata":"https://www.wikidata.org/wiki/Q63087","display_name":"Coreference","level":3,"score":0.5666823387145996},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5504261255264282},{"id":"https://openalex.org/C78726541","wikidata":"https://www.wikidata.org/wiki/Q3882785","display_name":"Upper ontology","level":3,"score":0.5372393727302551},{"id":"https://openalex.org/C19768560","wikidata":"https://www.wikidata.org/wiki/Q320727","display_name":"Dependency (UML)","level":2,"score":0.5249730944633484},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5044516324996948},{"id":"https://openalex.org/C22550185","wikidata":"https://www.wikidata.org/wiki/Q7095047","display_name":"Ontology-based data integration","level":3,"score":0.4704301059246063},{"id":"https://openalex.org/C50971890","wikidata":"https://www.wikidata.org/wiki/Q7635093","display_name":"Suggested Upper Merged Ontology","level":4,"score":0.45465943217277527},{"id":"https://openalex.org/C164883195","wikidata":"https://www.wikidata.org/wiki/Q674834","display_name":"Dependency grammar","level":3,"score":0.4286350905895233},{"id":"https://openalex.org/C115408247","wikidata":"https://www.wikidata.org/wiki/Q3882789","display_name":"Ontology Inference Layer","level":5,"score":0.42660781741142273},{"id":"https://openalex.org/C138268822","wikidata":"https://www.wikidata.org/wiki/Q1051925","display_name":"Resolution (logic)","level":2,"score":0.42257726192474365},{"id":"https://openalex.org/C26022165","wikidata":"https://www.wikidata.org/wiki/Q8091","display_name":"Grammar","level":2,"score":0.41244396567344666},{"id":"https://openalex.org/C2129575","wikidata":"https://www.wikidata.org/wiki/Q54837","display_name":"Semantic Web","level":2,"score":0.2520906627178192},{"id":"https://openalex.org/C50382505","wikidata":"https://www.wikidata.org/wiki/Q2553356","display_name":"OWL-S","level":4,"score":0.16648513078689575},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.11421984434127808},{"id":"https://openalex.org/C167379230","wikidata":"https://www.wikidata.org/wiki/Q1026884","display_name":"Semantic Web Stack","level":3,"score":0.09109282493591309},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/rivf.2019.8713662","is_oa":false,"landing_page_url":"https://doi.org/10.1109/rivf.2019.8713662","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE-RIVF International Conference on Computing and Communication Technologies (RIVF)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.800000011920929,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1593103047","https://openalex.org/W1595227046","https://openalex.org/W2033709196","https://openalex.org/W2081580037","https://openalex.org/W2081667112","https://openalex.org/W2112158612","https://openalex.org/W2121184547","https://openalex.org/W2160660844","https://openalex.org/W2774659713","https://openalex.org/W4211186029","https://openalex.org/W6635502529"],"related_works":["https://openalex.org/W2251252397","https://openalex.org/W4287592","https://openalex.org/W1977671906","https://openalex.org/W2363188691","https://openalex.org/W2130691104","https://openalex.org/W26549824","https://openalex.org/W184491905","https://openalex.org/W2072752921","https://openalex.org/W2028429940","https://openalex.org/W2380304734"],"abstract_inverted_index":{"Sentiment":[0],"ontology":[1,16,98],"is":[2,53,65,90,101],"usually":[3],"realized":[4],"as":[5,79],"triplets":[6],"of":[7,12,86],"objects,":[8],"aspects,":[9],"and":[10,39,74,81,99,110,120],"sentiment":[11,28,50],"a":[13,27,34,46,49,66,87],"product.":[14],"Such":[15],"can":[17,31],"effectively":[18],"support":[19],"coreference":[20],"resolution":[21],"in":[22,96],"textual":[23],"documents.":[24],"To":[25],"develop":[26],"ontology,":[29,51],"one":[30,68],"start":[32],"from":[33,60],"preliminary":[35,122],"comprehensive":[36],"knowledge":[37,76],"base":[38],"gradually":[40],"enrich":[41],"it.":[42],"This":[43],"paper":[44],"proposes":[45],"method":[47],"to":[48,91,103],"which":[52],"based":[54,69],"on":[55,70],"the":[56,97,121],"instance":[57],"relationship":[58],"captured":[59],"collected":[61],"data.":[62],"Our":[63],"approach":[64,116],"hybrid":[67],"rules,":[71],"dependence":[72],"grammar,":[73],"existing":[75],"bases,":[77],"such":[78],"WordNet":[80,100],"Opinion":[82],"Lexicon.":[83],"The":[84],"application":[85],"dependency":[88],"grammar":[89],"find":[92],"relationships":[93],"between":[94],"components":[95],"used":[102],"identify":[104],"semantic":[105],"classes":[106],"for":[107],"unknown":[108],"words":[109],"phrases.":[111],"We":[112],"have":[113],"experimented":[114],"our":[115],"with":[117],"real":[118],"datasets":[119],"results":[123],"are":[124],"quite":[125],"promising.":[126]},"counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}
