{"id":"https://openalex.org/W2964649370","doi":"https://doi.org/10.1007/s10489-019-01540-2","title":"Semantic and syntactic analysis in learning representation based on a sentiment analysis model","display_name":"Semantic and syntactic analysis in learning representation based on a sentiment analysis model","publication_year":2019,"publication_date":"2019-08-07","ids":{"openalex":"https://openalex.org/W2964649370","doi":"https://doi.org/10.1007/s10489-019-01540-2","mag":"2964649370"},"language":"en","primary_location":{"id":"doi:10.1007/s10489-019-01540-2","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s10489-019-01540-2","pdf_url":null,"source":{"id":"https://openalex.org/S74726891","display_name":"Applied Intelligence","issn_l":"0924-669X","issn":["0924-669X","1573-7497"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Intelligence","raw_type":"journal-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/A5025543654","display_name":"Anh-Dung Vo","orcid":"https://orcid.org/0000-0002-4363-2177"},"institutions":[{"id":"https://openalex.org/I40542001","display_name":"University of Ulsan","ror":"https://ror.org/02c2f8975","country_code":"KR","type":"education","lineage":["https://openalex.org/I40542001"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Anh-Dung Vo","raw_affiliation_strings":["Department of IT Convergence, University of Ulsan, Ulsan, 44610, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of IT Convergence, University of Ulsan, Ulsan, 44610, Republic of Korea","institution_ids":["https://openalex.org/I40542001"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062358775","display_name":"Quang-Phuoc Nguyen","orcid":"https://orcid.org/0000-0001-7792-295X"},"institutions":[{"id":"https://openalex.org/I40542001","display_name":"University of Ulsan","ror":"https://ror.org/02c2f8975","country_code":"KR","type":"education","lineage":["https://openalex.org/I40542001"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Quang-Phuoc Nguyen","raw_affiliation_strings":["Department of IT Convergence, University of Ulsan, Ulsan, 44610, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of IT Convergence, University of Ulsan, Ulsan, 44610, Republic of Korea","institution_ids":["https://openalex.org/I40542001"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039728915","display_name":"Cheol-Young Ock","orcid":null},"institutions":[{"id":"https://openalex.org/I40542001","display_name":"University of Ulsan","ror":"https://ror.org/02c2f8975","country_code":"KR","type":"education","lineage":["https://openalex.org/I40542001"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Cheol-Young Ock","raw_affiliation_strings":["Department of IT Convergence, University of Ulsan, Ulsan, 44610, Republic of Korea"],"raw_orcid":"https://orcid.org/0000-0003-0020-1040","affiliations":[{"raw_affiliation_string":"Department of IT Convergence, University of Ulsan, Ulsan, 44610, Republic of Korea","institution_ids":["https://openalex.org/I40542001"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5025543654"],"corresponding_institution_ids":["https://openalex.org/I40542001"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":null,"fwci":3.3234,"has_fulltext":false,"cited_by_count":35,"citation_normalized_percentile":{"value":0.93924091,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"50","issue":"3","first_page":"663","last_page":"680"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":1.0,"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":1.0,"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":0.9980000257492065,"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":0.9923999905586243,"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":0.9075139164924622},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.878982424736023},{"id":"https://openalex.org/keywords/word2vec","display_name":"Word2vec","score":0.8110967874526978},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5536344051361084},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.546204686164856},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.5419609546661377},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5410366058349609},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4554930627346039},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.43908652663230896},{"id":"https://openalex.org/keywords/semantic-analysis","display_name":"Semantic analysis (machine learning)","score":0.4191027283668518},{"id":"https://openalex.org/keywords/word-embedding","display_name":"Word embedding","score":0.4167783558368683},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.21885880827903748}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.9075139164924622},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.878982424736023},{"id":"https://openalex.org/C2776461190","wikidata":"https://www.wikidata.org/wiki/Q22673982","display_name":"Word2vec","level":3,"score":0.8110967874526978},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5536344051361084},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.546204686164856},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.5419609546661377},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5410366058349609},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4554930627346039},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.43908652663230896},{"id":"https://openalex.org/C2777946921","wikidata":"https://www.wikidata.org/wiki/Q7449044","display_name":"Semantic analysis (machine learning)","level":2,"score":0.4191027283668518},{"id":"https://openalex.org/C2777462759","wikidata":"https://www.wikidata.org/wiki/Q18395344","display_name":"Word embedding","level":3,"score":0.4167783558368683},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.21885880827903748},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"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/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s10489-019-01540-2","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s10489-019-01540-2","pdf_url":null,"source":{"id":"https://openalex.org/S74726891","display_name":"Applied Intelligence","issn_l":"0924-669X","issn":["0924-669X","1573-7497"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6399999856948853,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320322030","display_name":"Ministry of Science, ICT and Future Planning","ror":"https://ror.org/032e49973"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":75,"referenced_works":["https://openalex.org/W23386337","https://openalex.org/W89279510","https://openalex.org/W193524605","https://openalex.org/W1483286009","https://openalex.org/W1581485226","https://openalex.org/W1662133657","https://openalex.org/W1880262756","https://openalex.org/W1940091528","https://openalex.org/W1969221592","https://openalex.org/W1988253520","https://openalex.org/W2001587475","https://openalex.org/W2019207508","https://openalex.org/W2019759670","https://openalex.org/W2028742638","https://openalex.org/W2034771957","https://openalex.org/W2035265584","https://openalex.org/W2037484534","https://openalex.org/W2055981215","https://openalex.org/W2080558111","https://openalex.org/W2088622183","https://openalex.org/W2096110600","https://openalex.org/W2097726431","https://openalex.org/W2100603658","https://openalex.org/W2106939668","https://openalex.org/W2107743791","https://openalex.org/W2108646579","https://openalex.org/W2112744748","https://openalex.org/W2120338404","https://openalex.org/W2120400822","https://openalex.org/W2125247664","https://openalex.org/W2125573226","https://openalex.org/W2131904035","https://openalex.org/W2137607259","https://openalex.org/W2141631351","https://openalex.org/W2142074148","https://openalex.org/W2153579005","https://openalex.org/W2160409620","https://openalex.org/W2160660844","https://openalex.org/W2163114435","https://openalex.org/W2166706824","https://openalex.org/W2215376118","https://openalex.org/W2243869100","https://openalex.org/W2341132943","https://openalex.org/W2464025940","https://openalex.org/W2465978385","https://openalex.org/W2469885001","https://openalex.org/W2474818045","https://openalex.org/W2497040301","https://openalex.org/W2534136119","https://openalex.org/W2537515450","https://openalex.org/W2538371562","https://openalex.org/W2562607067","https://openalex.org/W2572043993","https://openalex.org/W2608897204","https://openalex.org/W2612769033","https://openalex.org/W2741609678","https://openalex.org/W2757541972","https://openalex.org/W2790974113","https://openalex.org/W2806416578","https://openalex.org/W2808348264","https://openalex.org/W2808858103","https://openalex.org/W2811254552","https://openalex.org/W2842541653","https://openalex.org/W2844549935","https://openalex.org/W2950577311","https://openalex.org/W2963874530","https://openalex.org/W2963936679","https://openalex.org/W2964098749","https://openalex.org/W2997918405","https://openalex.org/W3121416198","https://openalex.org/W3146306708","https://openalex.org/W4205184193","https://openalex.org/W4240301415","https://openalex.org/W4285719527","https://openalex.org/W6810425081"],"related_works":["https://openalex.org/W3003606604","https://openalex.org/W2946409105","https://openalex.org/W3040974839","https://openalex.org/W2795129682","https://openalex.org/W3152932816","https://openalex.org/W2985392712","https://openalex.org/W4388996947","https://openalex.org/W3133567596","https://openalex.org/W2798009317","https://openalex.org/W4382201653"],"abstract_inverted_index":null,"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":12},{"year":2020,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}