{"id":"https://openalex.org/W4210532528","doi":"https://doi.org/10.1007/s00500-021-06602-7","title":"Short-term stock trends prediction based on sentiment analysis and machine learning","display_name":"Short-term stock trends prediction based on sentiment analysis and machine learning","publication_year":2022,"publication_date":"2022-01-27","ids":{"openalex":"https://openalex.org/W4210532528","doi":"https://doi.org/10.1007/s00500-021-06602-7"},"language":"en","primary_location":{"id":"doi:10.1007/s00500-021-06602-7","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s00500-021-06602-7","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/A5033731578","display_name":"Yue Qiu","orcid":"https://orcid.org/0000-0002-2164-090X"},"institutions":[{"id":"https://openalex.org/I90259746","display_name":"Capital University of Economics and Business","ror":"https://ror.org/01r5sf951","country_code":"CN","type":"education","lineage":["https://openalex.org/I90259746"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yue Qiu","raw_affiliation_strings":["School of Management and Engineering, Capital University of Economics and Business, Beijing, 100070, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Management and Engineering, Capital University of Economics and Business, Beijing, 100070, China","institution_ids":["https://openalex.org/I90259746"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014069985","display_name":"Zhewei Song","orcid":"https://orcid.org/0000-0002-8629-856X"},"institutions":[{"id":"https://openalex.org/I90259746","display_name":"Capital University of Economics and Business","ror":"https://ror.org/01r5sf951","country_code":"CN","type":"education","lineage":["https://openalex.org/I90259746"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhewei Song","raw_affiliation_strings":["School of Management and Engineering, Capital University of Economics and Business, Beijing, 100070, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Management and Engineering, Capital University of Economics and Business, Beijing, 100070, China","institution_ids":["https://openalex.org/I90259746"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103245284","display_name":"Zhensong Chen","orcid":"https://orcid.org/0000-0002-3769-4443"},"institutions":[{"id":"https://openalex.org/I90259746","display_name":"Capital University of Economics and Business","ror":"https://ror.org/01r5sf951","country_code":"CN","type":"education","lineage":["https://openalex.org/I90259746"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhensong Chen","raw_affiliation_strings":["School of Management and Engineering, Capital University of Economics and Business, Beijing, 100070, China"],"raw_orcid":"https://orcid.org/0000-0002-3769-4443","affiliations":[{"raw_affiliation_string":"School of Management and Engineering, Capital University of Economics and Business, Beijing, 100070, China","institution_ids":["https://openalex.org/I90259746"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5103245284"],"corresponding_institution_ids":["https://openalex.org/I90259746"],"apc_list":{"value":2990,"currency":"USD","value_usd":2990},"apc_paid":null,"fwci":9.1374,"has_fulltext":false,"cited_by_count":68,"citation_normalized_percentile":{"value":0.98532923,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"26","issue":"5","first_page":"2209","last_page":"2224"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11326","display_name":"Stock Market Forecasting Methods","score":0.9998999834060669,"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":0.9998999834060669,"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/T10047","display_name":"Financial Markets and Investment Strategies","score":0.9934999942779541,"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"}},{"id":"https://openalex.org/T11052","display_name":"Energy Load and Power Forecasting","score":0.9934999942779541,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.7320573329925537},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.6846771836280823},{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.6733940839767456},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6693016886711121},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.662146270275116},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.634236752986908},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6044889688491821},{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.552053689956665},{"id":"https://openalex.org/keywords/logistic-regression","display_name":"Logistic regression","score":0.5310400128364563},{"id":"https://openalex.org/keywords/index","display_name":"Index (typography)","score":0.5133659243583679},{"id":"https://openalex.org/keywords/stock","display_name":"Stock (firearms)","score":0.5025434494018555},{"id":"https://openalex.org/keywords/stock-market-index","display_name":"Stock market index","score":0.5008866786956787},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.476707398891449},{"id":"https://openalex.org/keywords/stock-market","display_name":"Stock market","score":0.4057566225528717},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.40561291575431824},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.38456225395202637},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21217608451843262},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.09480705857276917}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7320573329925537},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.6846771836280823},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.6733940839767456},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6693016886711121},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.662146270275116},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.634236752986908},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6044889688491821},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.552053689956665},{"id":"https://openalex.org/C151956035","wikidata":"https://www.wikidata.org/wiki/Q1132755","display_name":"Logistic regression","level":2,"score":0.5310400128364563},{"id":"https://openalex.org/C2777382242","wikidata":"https://www.wikidata.org/wiki/Q6017816","display_name":"Index (typography)","level":2,"score":0.5133659243583679},{"id":"https://openalex.org/C204036174","wikidata":"https://www.wikidata.org/wiki/Q909380","display_name":"Stock (firearms)","level":2,"score":0.5025434494018555},{"id":"https://openalex.org/C88389905","wikidata":"https://www.wikidata.org/wiki/Q223371","display_name":"Stock market index","level":4,"score":0.5008866786956787},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.476707398891449},{"id":"https://openalex.org/C2780299701","wikidata":"https://www.wikidata.org/wiki/Q475000","display_name":"Stock market","level":3,"score":0.4057566225528717},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.40561291575431824},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.38456225395202637},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21217608451843262},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.09480705857276917},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s00500-021-06602-7","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s00500-021-06602-7","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/G1205478923","display_name":null,"funder_award_id":"KM202010038001","funder_id":"https://openalex.org/F4320321572","funder_display_name":"Beijing Municipal Commission of Education"},{"id":"https://openalex.org/G2940208285","display_name":"\u57fa\u4e8e\u5927\u6570\u636e\u878d\u5408\u7684\u65b0\u4e00\u4ee3\u5546\u52a1\u667a\u80fd\u7cfb\u7edf\u6784\u5efa\u7814\u7a76","funder_award_id":"71932008","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3229818429","display_name":"\u6807\u7b7e\u805a\u5408\u5b66\u4e60\u89c6\u89d2\u4e0b\u7834\u4ea7\u9884\u6d4b\u6a21\u578b\u4e0e\u65b9\u6cd5\u7814\u7a76","funder_award_id":"71901155","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321572","display_name":"Beijing Municipal Commission of Education","ror":"https://ror.org/04bpn6s66"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W20761671","https://openalex.org/W1259090559","https://openalex.org/W1555686918","https://openalex.org/W1870206505","https://openalex.org/W1965235124","https://openalex.org/W1980836123","https://openalex.org/W1986078433","https://openalex.org/W1988539772","https://openalex.org/W2032170121","https://openalex.org/W2062067606","https://openalex.org/W2099227715","https://openalex.org/W2109767864","https://openalex.org/W2134183765","https://openalex.org/W2140814689","https://openalex.org/W2164933932","https://openalex.org/W2192928216","https://openalex.org/W2215376118","https://openalex.org/W2260992041","https://openalex.org/W2270941958","https://openalex.org/W2290024306","https://openalex.org/W2333080944","https://openalex.org/W2438012245","https://openalex.org/W2519385971","https://openalex.org/W2602143918","https://openalex.org/W2794904450","https://openalex.org/W2891929938","https://openalex.org/W2903594986","https://openalex.org/W2962715746","https://openalex.org/W2973765623","https://openalex.org/W2990180334","https://openalex.org/W3012568651","https://openalex.org/W3018758730","https://openalex.org/W3035419191","https://openalex.org/W3118915352","https://openalex.org/W3121227455","https://openalex.org/W3122268379","https://openalex.org/W3122810997","https://openalex.org/W3122944446","https://openalex.org/W3124986135"],"related_works":["https://openalex.org/W4384520063","https://openalex.org/W4312478656","https://openalex.org/W4383746529","https://openalex.org/W4321636153","https://openalex.org/W4377964522","https://openalex.org/W4281846282","https://openalex.org/W4383535405","https://openalex.org/W4384345534","https://openalex.org/W3013497550","https://openalex.org/W4214951795"],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":7},{"year":2025,"cited_by_count":17},{"year":2024,"cited_by_count":16},{"year":2023,"cited_by_count":20},{"year":2022,"cited_by_count":8}],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2025-10-10T00:00:00"}
