{"id":"https://openalex.org/W2883246398","doi":"https://doi.org/10.1007/978-3-319-97289-3_8","title":"Stock Price Movement Prediction from Financial News with Deep Learning and Knowledge Graph Embedding","display_name":"Stock Price Movement Prediction from Financial News with Deep Learning and Knowledge Graph Embedding","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2883246398","doi":"https://doi.org/10.1007/978-3-319-97289-3_8","mag":"2883246398"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-319-97289-3_8","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-319-97289-3_8","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"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":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"conference-paper","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/A5100355955","display_name":"Yang Liu","orcid":"https://orcid.org/0000-0002-6446-9508"},"institutions":[{"id":"https://openalex.org/I88060688","display_name":"Universidad Polit\u00e9cnica de Madrid","ror":"https://ror.org/03n6nwv02","country_code":"ES","type":"education","lineage":["https://openalex.org/I88060688"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Yang Liu","raw_affiliation_strings":["Department of Industrial Engineering, Business Administration and Statistics, Universidad Polit\u00e9cnica de Madrid, 28006, Madrid, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Industrial Engineering, Business Administration and Statistics, Universidad Polit\u00e9cnica de Madrid, 28006, Madrid, Spain","institution_ids":["https://openalex.org/I88060688"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012865810","display_name":"Qingguo Zeng","orcid":"https://orcid.org/0000-0002-3365-5690"},"institutions":[{"id":"https://openalex.org/I187400657","display_name":"South China Normal University","ror":"https://ror.org/01kq0pv72","country_code":"CN","type":"education","lineage":["https://openalex.org/I187400657"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingguo Zeng","raw_affiliation_strings":["South China Normal University, Shipai, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"South China Normal University, Shipai, Guangzhou, China","institution_ids":["https://openalex.org/I187400657"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076154259","display_name":"Huanrui Yang","orcid":"https://orcid.org/0000-0002-3384-4512"},"institutions":[{"id":"https://openalex.org/I170897317","display_name":"Duke University","ror":"https://ror.org/00py81415","country_code":"US","type":"education","lineage":["https://openalex.org/I170897317"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Huanrui Yang","raw_affiliation_strings":["Electrical and Computer Engineering Department, Duke University, Durham, 27708, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electrical and Computer Engineering Department, Duke University, Durham, 27708, USA","institution_ids":["https://openalex.org/I170897317"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023900271","display_name":"Adri\u00e1n Carrio","orcid":"https://orcid.org/0000-0001-6711-7279"},"institutions":[{"id":"https://openalex.org/I88060688","display_name":"Universidad Polit\u00e9cnica de Madrid","ror":"https://ror.org/03n6nwv02","country_code":"ES","type":"education","lineage":["https://openalex.org/I88060688"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Adrian Carrio","raw_affiliation_strings":["Center of Automatic and Robotic, Universidad Polit\u00e9cnica de Madrid, 28006, Madrid, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center of Automatic and Robotic, Universidad Polit\u00e9cnica de Madrid, 28006, Madrid, Spain","institution_ids":["https://openalex.org/I88060688"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5076154259"],"corresponding_institution_ids":["https://openalex.org/I170897317"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":4.9985,"has_fulltext":false,"cited_by_count":44,"citation_normalized_percentile":{"value":0.96132109,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"102","last_page":"113"},"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":0.9965000152587891,"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":0.9933000206947327,"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":0.8252099752426147},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7450900077819824},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6537818908691406},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6232024431228638},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5633662343025208},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.5161064863204956},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.4803268015384674},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.472141295671463},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4611404836177826},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.445472776889801},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.42152881622314453},{"id":"https://openalex.org/keywords/stock-market","display_name":"Stock market","score":0.4205821752548218}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8252099752426147},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7450900077819824},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6537818908691406},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6232024431228638},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5633662343025208},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.5161064863204956},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.4803268015384674},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.472141295671463},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4611404836177826},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.445472776889801},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.42152881622314453},{"id":"https://openalex.org/C2780299701","wikidata":"https://www.wikidata.org/wiki/Q475000","display_name":"Stock market","level":3,"score":0.4205821752548218},{"id":"https://openalex.org/C2780762169","wikidata":"https://www.wikidata.org/wiki/Q5905368","display_name":"Horse","level":2,"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-319-97289-3_8","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-319-97289-3_8","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"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":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320322725","display_name":"China Scholarship Council","ror":"https://ror.org/04atp4p48"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W172260869","https://openalex.org/W1259090559","https://openalex.org/W1832693441","https://openalex.org/W1952479354","https://openalex.org/W1980850818","https://openalex.org/W2005233533","https://openalex.org/W2022204871","https://openalex.org/W2127795553","https://openalex.org/W2132311402","https://openalex.org/W2132527043","https://openalex.org/W2210974520","https://openalex.org/W2250342289","https://openalex.org/W2271840356","https://openalex.org/W2283196293","https://openalex.org/W2296438605","https://openalex.org/W2499696929","https://openalex.org/W2558476738","https://openalex.org/W2575002693","https://openalex.org/W2594142095","https://openalex.org/W2621591459","https://openalex.org/W2741908740","https://openalex.org/W2759136286","https://openalex.org/W2762466482","https://openalex.org/W2773831388","https://openalex.org/W2919115771","https://openalex.org/W2950577311","https://openalex.org/W3002881589","https://openalex.org/W3122799874","https://openalex.org/W6602480875"],"related_works":["https://openalex.org/W2548633793","https://openalex.org/W3089396779","https://openalex.org/W2596247554","https://openalex.org/W4301373556","https://openalex.org/W2941935829","https://openalex.org/W3013279174","https://openalex.org/W4317653575","https://openalex.org/W3132372214","https://openalex.org/W4224284088","https://openalex.org/W4286571989"],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":14},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":10},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":2}],"updated_date":"2026-08-04T08:18:43.703281","created_date":"2025-10-10T00:00:00"}
