{"id":"https://openalex.org/W3118915352","doi":"https://doi.org/10.1007/s00500-020-05454-x","title":"Sentiment analysis of stock markets using a novel dimensional valence\u2013arousal approach","display_name":"Sentiment analysis of stock markets using a novel dimensional valence\u2013arousal approach","publication_year":2021,"publication_date":"2021-01-03","ids":{"openalex":"https://openalex.org/W3118915352","doi":"https://doi.org/10.1007/s00500-020-05454-x","mag":"3118915352"},"language":"en","primary_location":{"id":"doi:10.1007/s00500-020-05454-x","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s00500-020-05454-x","pdf_url":null,"source":{"id":"https://openalex.org/S65753830","display_name":"Soft Computing","issn_l":"1432-7643","issn":["1432-7643","1433-7479"],"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":"Soft Computing","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/A5087778670","display_name":"Jheng-Long Wu","orcid":"https://orcid.org/0000-0003-3494-5507"},"institutions":[{"id":"https://openalex.org/I185940356","display_name":"Soochow University","ror":"https://ror.org/05kvm7n82","country_code":"TW","type":"education","lineage":["https://openalex.org/I185940356"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Jheng-Long Wu","raw_affiliation_strings":["School of Big Data Management, Soochow University, Taipei City, Taiwan"],"raw_orcid":"https://orcid.org/0000-0003-3494-5507","affiliations":[{"raw_affiliation_string":"School of Big Data Management, Soochow University, Taipei City, Taiwan","institution_ids":["https://openalex.org/I185940356"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006252717","display_name":"Min-Tzu Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I185940356","display_name":"Soochow University","ror":"https://ror.org/05kvm7n82","country_code":"TW","type":"education","lineage":["https://openalex.org/I185940356"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Min-Tzu Huang","raw_affiliation_strings":["School of Big Data Management, Soochow University, Taipei City, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Big Data Management, Soochow University, Taipei City, Taiwan","institution_ids":["https://openalex.org/I185940356"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046395111","display_name":"Chi-Sheng Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I185940356","display_name":"Soochow University","ror":"https://ror.org/05kvm7n82","country_code":"TW","type":"education","lineage":["https://openalex.org/I185940356"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chi-Sheng Yang","raw_affiliation_strings":["School of Big Data Management, Soochow University, Taipei City, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Big Data Management, Soochow University, Taipei City, Taiwan","institution_ids":["https://openalex.org/I185940356"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023505030","display_name":"Kai-Hsuan Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I185940356","display_name":"Soochow University","ror":"https://ror.org/05kvm7n82","country_code":"TW","type":"education","lineage":["https://openalex.org/I185940356"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Kai-Hsuan Liu","raw_affiliation_strings":["School of Big Data Management, Soochow University, Taipei City, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Big Data Management, Soochow University, Taipei City, Taiwan","institution_ids":["https://openalex.org/I185940356"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5087778670"],"corresponding_institution_ids":["https://openalex.org/I185940356"],"apc_list":{"value":3190,"currency":"USD","value_usd":3190},"apc_paid":null,"fwci":2.7283,"has_fulltext":false,"cited_by_count":26,"citation_normalized_percentile":{"value":0.89701324,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":99},"biblio":{"volume":"25","issue":"6","first_page":"4433","last_page":"4450"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11326","display_name":"Stock Market Forecasting Methods","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11326","display_name":"Stock Market Forecasting Methods","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11052","display_name":"Energy Load and Power Forecasting","score":0.9912999868392944,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10047","display_name":"Financial Markets and Investment Strategies","score":0.9911999702453613,"subfield":{"id":"https://openalex.org/subfields/2003","display_name":"Finance"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6837045550346375},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.6676688194274902},{"id":"https://openalex.org/keywords/valence","display_name":"Valence (chemistry)","score":0.6587584614753723},{"id":"https://openalex.org/keywords/stock","display_name":"Stock (firearms)","score":0.6218874454498291},{"id":"https://openalex.org/keywords/arousal","display_name":"Arousal","score":0.5981941223144531},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.5926396250724792},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.555923342704773},{"id":"https://openalex.org/keywords/stock-market","display_name":"Stock market","score":0.48562923073768616},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45935606956481934},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.41970810294151306},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.40687763690948486},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.36149531602859497},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.17240864038467407},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.14693212509155273}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6837045550346375},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.6676688194274902},{"id":"https://openalex.org/C168900304","wikidata":"https://www.wikidata.org/wiki/Q171407","display_name":"Valence (chemistry)","level":2,"score":0.6587584614753723},{"id":"https://openalex.org/C204036174","wikidata":"https://www.wikidata.org/wiki/Q909380","display_name":"Stock (firearms)","level":2,"score":0.6218874454498291},{"id":"https://openalex.org/C36951298","wikidata":"https://www.wikidata.org/wiki/Q379784","display_name":"Arousal","level":2,"score":0.5981941223144531},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.5926396250724792},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.555923342704773},{"id":"https://openalex.org/C2780299701","wikidata":"https://www.wikidata.org/wiki/Q475000","display_name":"Stock market","level":3,"score":0.48562923073768616},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45935606956481934},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.41970810294151306},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.40687763690948486},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36149531602859497},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.17240864038467407},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.14693212509155273},{"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/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0},{"id":"https://openalex.org/C2780762169","wikidata":"https://www.wikidata.org/wiki/Q5905368","display_name":"Horse","level":2,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s00500-020-05454-x","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s00500-020-05454-x","pdf_url":null,"source":{"id":"https://openalex.org/S65753830","display_name":"Soft Computing","issn_l":"1432-7643","issn":["1432-7643","1433-7479"],"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":"Soft Computing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3399676893","display_name":"Traffic Flow Prediction Using Deep Learning Model with Multiple Time Series Attention Mechanisms","funder_award_id":"MOST109-2221-E031-003","funder_id":"https://openalex.org/F4320322795","funder_display_name":"Ministry of Science and Technology, Taiwan"},{"id":"https://openalex.org/G6438829638","display_name":"An Stock Trading Prediction System Using Deep Generative Adversarial Neural Netowrk","funder_award_id":"MOST107-2218-E031-002-MY2","funder_id":"https://openalex.org/F4320322795","funder_display_name":"Ministry of Science and Technology, Taiwan"}],"funders":[{"id":"https://openalex.org/F4320322795","display_name":"Ministry of Science and Technology, Taiwan","ror":"https://ror.org/02kv4zf79"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":58,"referenced_works":["https://openalex.org/W1211014924","https://openalex.org/W1712310030","https://openalex.org/W2023736093","https://openalex.org/W2025053102","https://openalex.org/W2028507941","https://openalex.org/W2149628368","https://openalex.org/W2185153609","https://openalex.org/W2260992041","https://openalex.org/W2290024306","https://openalex.org/W2345563409","https://openalex.org/W2470673105","https://openalex.org/W2508906875","https://openalex.org/W2542080616","https://openalex.org/W2556622281","https://openalex.org/W2566234880","https://openalex.org/W2568937765","https://openalex.org/W2575002693","https://openalex.org/W2585869517","https://openalex.org/W2603721671","https://openalex.org/W2768377508","https://openalex.org/W2773057751","https://openalex.org/W2780013296","https://openalex.org/W2785783438","https://openalex.org/W2786205708","https://openalex.org/W2789255210","https://openalex.org/W2793376154","https://openalex.org/W2795361660","https://openalex.org/W2799178524","https://openalex.org/W2799635155","https://openalex.org/W2808310571","https://openalex.org/W2810156540","https://openalex.org/W2833425706","https://openalex.org/W2874218187","https://openalex.org/W2884287800","https://openalex.org/W2899144608","https://openalex.org/W2901699584","https://openalex.org/W2902782212","https://openalex.org/W2904297350","https://openalex.org/W2923528470","https://openalex.org/W2933053849","https://openalex.org/W2938903045","https://openalex.org/W2949501852","https://openalex.org/W2962718536","https://openalex.org/W2966861509","https://openalex.org/W2969886070","https://openalex.org/W2973765623","https://openalex.org/W2980472264","https://openalex.org/W2988357083","https://openalex.org/W2992709687","https://openalex.org/W2997193501","https://openalex.org/W2999124990","https://openalex.org/W3005226559","https://openalex.org/W3007699338","https://openalex.org/W3046965854","https://openalex.org/W3083155609","https://openalex.org/W3103398325","https://openalex.org/W3121285418","https://openalex.org/W4236851566"],"related_works":["https://openalex.org/W2029072726","https://openalex.org/W91913183","https://openalex.org/W2936882366","https://openalex.org/W1987182177","https://openalex.org/W2736893848","https://openalex.org/W2128698257","https://openalex.org/W1544055438","https://openalex.org/W3003450285","https://openalex.org/W2085024878","https://openalex.org/W4361008003"],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":2}],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2025-10-10T00:00:00"}