{"id":"https://openalex.org/W3005880472","doi":"https://doi.org/10.1016/j.ipm.2020.102212","title":"Incorporating stock prices and news sentiments for stock market prediction: A case of Hong Kong","display_name":"Incorporating stock prices and news sentiments for stock market prediction: A case of Hong Kong","publication_year":2020,"publication_date":"2020-02-12","ids":{"openalex":"https://openalex.org/W3005880472","doi":"https://doi.org/10.1016/j.ipm.2020.102212","mag":"3005880472"},"language":"en","primary_location":{"id":"doi:10.1016/j.ipm.2020.102212","is_oa":false,"landing_page_url":"https://doi.org/10.1016/j.ipm.2020.102212","pdf_url":null,"source":{"id":"https://openalex.org/S174847851","display_name":"Information Processing & Management","issn_l":"0306-4573","issn":["0306-4573","1873-5371"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Information Processing &amp; Management","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/A5100731640","display_name":"Xiaodong Li","orcid":"https://orcid.org/0000-0001-6690-836X"},"institutions":[{"id":"https://openalex.org/I163340411","display_name":"Hohai University","ror":"https://ror.org/01wd4xt90","country_code":"CN","type":"education","lineage":["https://openalex.org/I163340411"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiaodong Li","raw_affiliation_strings":["College of Computer and Information, Hohai University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"College of Computer and Information, Hohai University, Nanjing, China","institution_ids":["https://openalex.org/I163340411"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086633594","display_name":"Pangjing Wu","orcid":"https://orcid.org/0000-0002-0290-4594"},"institutions":[{"id":"https://openalex.org/I163340411","display_name":"Hohai University","ror":"https://ror.org/01wd4xt90","country_code":"CN","type":"education","lineage":["https://openalex.org/I163340411"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pangjing Wu","raw_affiliation_strings":["College of Computer and Information, Hohai University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"College of Computer and Information, Hohai University, Nanjing, China","institution_ids":["https://openalex.org/I163340411"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100783233","display_name":"Wenpeng Wang","orcid":"https://orcid.org/0000-0002-1901-6868"},"institutions":[{"id":"https://openalex.org/I163340411","display_name":"Hohai University","ror":"https://ror.org/01wd4xt90","country_code":"CN","type":"education","lineage":["https://openalex.org/I163340411"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenpeng Wang","raw_affiliation_strings":["College of Computer and Information, Hohai University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"College of Computer and Information, Hohai University, Nanjing, China","institution_ids":["https://openalex.org/I163340411"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100731640"],"corresponding_institution_ids":["https://openalex.org/I163340411"],"apc_list":{"value":3220,"currency":"USD","value_usd":3220},"apc_paid":null,"fwci":38.0871,"has_fulltext":false,"cited_by_count":353,"citation_normalized_percentile":{"value":0.99896322,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"57","issue":"5","first_page":"102212","last_page":"102212"},"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/T10047","display_name":"Financial Markets and Investment Strategies","score":0.9943000078201294,"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":0.9832000136375427,"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/computer-science","display_name":"Computer science","score":0.7336421608924866},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.688666582107544},{"id":"https://openalex.org/keywords/stock","display_name":"Stock (firearms)","score":0.6191418766975403},{"id":"https://openalex.org/keywords/stock-market","display_name":"Stock market","score":0.6061118841171265},{"id":"https://openalex.org/keywords/stock-market-prediction","display_name":"Stock market prediction","score":0.5344437956809998},{"id":"https://openalex.org/keywords/snapshot","display_name":"Snapshot (computer storage)","score":0.5209449529647827},{"id":"https://openalex.org/keywords/stock-price","display_name":"Stock price","score":0.4462083876132965},{"id":"https://openalex.org/keywords/technical-analysis","display_name":"Technical analysis","score":0.44189995527267456},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.4242454171180725},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.362906813621521},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3532865643501282},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.34861698746681213},{"id":"https://openalex.org/keywords/financial-economics","display_name":"Financial economics","score":0.25558602809906006},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.18100574612617493},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.1481785774230957},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.10081306099891663}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7336421608924866},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.688666582107544},{"id":"https://openalex.org/C204036174","wikidata":"https://www.wikidata.org/wiki/Q909380","display_name":"Stock (firearms)","level":2,"score":0.6191418766975403},{"id":"https://openalex.org/C2780299701","wikidata":"https://www.wikidata.org/wiki/Q475000","display_name":"Stock market","level":3,"score":0.6061118841171265},{"id":"https://openalex.org/C2776256503","wikidata":"https://www.wikidata.org/wiki/Q7617906","display_name":"Stock market prediction","level":4,"score":0.5344437956809998},{"id":"https://openalex.org/C55282118","wikidata":"https://www.wikidata.org/wiki/Q252683","display_name":"Snapshot (computer storage)","level":2,"score":0.5209449529647827},{"id":"https://openalex.org/C2988984586","wikidata":"https://www.wikidata.org/wiki/Q1020013","display_name":"Stock price","level":3,"score":0.4462083876132965},{"id":"https://openalex.org/C117245426","wikidata":"https://www.wikidata.org/wiki/Q235038","display_name":"Technical analysis","level":2,"score":0.44189995527267456},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.4242454171180725},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.362906813621521},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3532865643501282},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34861698746681213},{"id":"https://openalex.org/C106159729","wikidata":"https://www.wikidata.org/wiki/Q2294553","display_name":"Financial economics","level":1,"score":0.25558602809906006},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.18100574612617493},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.1481785774230957},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.10081306099891663},{"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},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1016/j.ipm.2020.102212","is_oa":false,"landing_page_url":"https://doi.org/10.1016/j.ipm.2020.102212","pdf_url":null,"source":{"id":"https://openalex.org/S174847851","display_name":"Information Processing & Management","issn_l":"0306-4573","issn":["0306-4573","1873-5371"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Information Processing &amp; Management","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G7684600925","display_name":null,"funder_award_id":"2019B15514","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G8741888628","display_name":null,"funder_award_id":"61602149","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/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":67,"referenced_works":["https://openalex.org/W62322198","https://openalex.org/W193524605","https://openalex.org/W581956982","https://openalex.org/W1259090559","https://openalex.org/W1744270772","https://openalex.org/W1965235124","https://openalex.org/W1968361347","https://openalex.org/W1970134823","https://openalex.org/W1985943920","https://openalex.org/W1995382443","https://openalex.org/W2055052620","https://openalex.org/W2060166505","https://openalex.org/W2064675550","https://openalex.org/W2089247440","https://openalex.org/W2099813784","https://openalex.org/W2128084896","https://openalex.org/W2131773668","https://openalex.org/W2136848157","https://openalex.org/W2140225973","https://openalex.org/W2171468534","https://openalex.org/W2209610041","https://openalex.org/W2210974520","https://openalex.org/W2275413729","https://openalex.org/W2296438605","https://openalex.org/W2510046892","https://openalex.org/W2593794846","https://openalex.org/W2594899909","https://openalex.org/W2624385633","https://openalex.org/W2734986640","https://openalex.org/W2774559076","https://openalex.org/W2785336079","https://openalex.org/W2788967885","https://openalex.org/W2790354057","https://openalex.org/W2806099957","https://openalex.org/W2874218187","https://openalex.org/W2900694066","https://openalex.org/W2902534617","https://openalex.org/W2909292094","https://openalex.org/W2911817255","https://openalex.org/W2913602408","https://openalex.org/W3122563224","https://openalex.org/W3122944446","https://openalex.org/W3124939890","https://openalex.org/W3125952890","https://openalex.org/W3133994440","https://openalex.org/W3145013517","https://openalex.org/W4241489324","https://openalex.org/W4250543126","https://openalex.org/W4251498816","https://openalex.org/W4253784357","https://openalex.org/W4256088380","https://openalex.org/W6602533448","https://openalex.org/W6607799657","https://openalex.org/W6616837769","https://openalex.org/W6664564910","https://openalex.org/W6675143072","https://openalex.org/W6675376841","https://openalex.org/W6687999520","https://openalex.org/W6688443890","https://openalex.org/W6697136110","https://openalex.org/W6725463577","https://openalex.org/W6741394401","https://openalex.org/W6748423813","https://openalex.org/W6748543919","https://openalex.org/W6751633495","https://openalex.org/W6758233637","https://openalex.org/W6763943128"],"related_works":["https://openalex.org/W2799178524","https://openalex.org/W4283371150","https://openalex.org/W4313268783","https://openalex.org/W3093992164","https://openalex.org/W2886395332","https://openalex.org/W3022211661","https://openalex.org/W4385787967","https://openalex.org/W2994645096","https://openalex.org/W4404601729","https://openalex.org/W3161712493"],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":57},{"year":2024,"cited_by_count":85},{"year":2023,"cited_by_count":68},{"year":2022,"cited_by_count":69},{"year":2021,"cited_by_count":48},{"year":2020,"cited_by_count":21}],"updated_date":"2026-03-04T09:10:02.777135","created_date":"2025-10-10T00:00:00"}
