{"id":"https://openalex.org/W3159201573","doi":"https://doi.org/10.1007/s11280-021-00880-9","title":"A hybrid approach for stock trend prediction based on tweets embedding and historical prices","display_name":"A hybrid approach for stock trend prediction based on tweets embedding and historical prices","publication_year":2021,"publication_date":"2021-04-22","ids":{"openalex":"https://openalex.org/W3159201573","doi":"https://doi.org/10.1007/s11280-021-00880-9","mag":"3159201573"},"language":"en","primary_location":{"id":"doi:10.1007/s11280-021-00880-9","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s11280-021-00880-9","pdf_url":null,"source":{"id":"https://openalex.org/S129236917","display_name":"World Wide Web","issn_l":"1386-145X","issn":["1386-145X","1573-1413"],"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":"World Wide Web","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/A5061569833","display_name":"Huihui Ni","orcid":null},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Huihui Ni","raw_affiliation_strings":["School of Software Engineering, East China Normal University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Software Engineering, East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058489137","display_name":"Shuting Wang","orcid":"https://orcid.org/0000-0003-4358-0730"},"institutions":[{"id":"https://openalex.org/I75059550","display_name":"Zhejiang Gongshang University","ror":"https://ror.org/0569mkk41","country_code":"CN","type":"education","lineage":["https://openalex.org/I75059550"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuting Wang","raw_affiliation_strings":["School of Computer and Information Engineering, Zhejiang Gongshang University, Zhejiang, China"],"affiliations":[{"raw_affiliation_string":"School of Computer and Information Engineering, Zhejiang Gongshang University, Zhejiang, China","institution_ids":["https://openalex.org/I75059550"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036585419","display_name":"Peng Cheng","orcid":"https://orcid.org/0000-0002-9797-6944"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peng Cheng","raw_affiliation_strings":["School of Software Engineering, East China Normal University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Software Engineering, East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5061569833"],"corresponding_institution_ids":["https://openalex.org/I66867065"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":null,"fwci":5.9004,"has_fulltext":false,"cited_by_count":40,"citation_normalized_percentile":{"value":0.96370551,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"24","issue":"3","first_page":"849","last_page":"868"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11326","display_name":"Stock Market Forecasting Methods","score":0.9998000264167786,"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":0.9998000264167786,"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/T12761","display_name":"Data Stream Mining Techniques","score":0.9945999979972839,"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/T10047","display_name":"Financial Markets and Investment Strategies","score":0.9836999773979187,"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":0.8379731178283691},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.6347164511680603},{"id":"https://openalex.org/keywords/stock-market","display_name":"Stock market","score":0.5975269079208374},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.5526090264320374},{"id":"https://openalex.org/keywords/stock","display_name":"Stock (firearms)","score":0.5135005116462708},{"id":"https://openalex.org/keywords/volatility","display_name":"Volatility (finance)","score":0.5134145021438599},{"id":"https://openalex.org/keywords/word-embedding","display_name":"Word embedding","score":0.4999549388885498},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43580326437950134},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.431640088558197},{"id":"https://openalex.org/keywords/stock-price","display_name":"Stock price","score":0.4225335121154785},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4141598343849182},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.37997564673423767},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3662942051887512},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.19046568870544434},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.17056342959403992}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8379731178283691},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.6347164511680603},{"id":"https://openalex.org/C2780299701","wikidata":"https://www.wikidata.org/wiki/Q475000","display_name":"Stock market","level":3,"score":0.5975269079208374},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.5526090264320374},{"id":"https://openalex.org/C204036174","wikidata":"https://www.wikidata.org/wiki/Q909380","display_name":"Stock (firearms)","level":2,"score":0.5135005116462708},{"id":"https://openalex.org/C91602232","wikidata":"https://www.wikidata.org/wiki/Q756115","display_name":"Volatility (finance)","level":2,"score":0.5134145021438599},{"id":"https://openalex.org/C2777462759","wikidata":"https://www.wikidata.org/wiki/Q18395344","display_name":"Word embedding","level":3,"score":0.4999549388885498},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43580326437950134},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.431640088558197},{"id":"https://openalex.org/C2988984586","wikidata":"https://www.wikidata.org/wiki/Q1020013","display_name":"Stock price","level":3,"score":0.4225335121154785},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4141598343849182},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.37997564673423767},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3662942051887512},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.19046568870544434},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.17056342959403992},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"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/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s11280-021-00880-9","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s11280-021-00880-9","pdf_url":null,"source":{"id":"https://openalex.org/S129236917","display_name":"World Wide Web","issn_l":"1386-145X","issn":["1386-145X","1573-1413"],"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":"World Wide Web","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6000000238418579,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":46,"referenced_works":["https://openalex.org/W2025291942","https://openalex.org/W2064675550","https://openalex.org/W2096468639","https://openalex.org/W2133564696","https://openalex.org/W2145094598","https://openalex.org/W2154851992","https://openalex.org/W2250886571","https://openalex.org/W2274287116","https://openalex.org/W2296438605","https://openalex.org/W2393319904","https://openalex.org/W2470673105","https://openalex.org/W2510046892","https://openalex.org/W2525778437","https://openalex.org/W2597655663","https://openalex.org/W2618530766","https://openalex.org/W2765762244","https://openalex.org/W2774559076","https://openalex.org/W2794904450","https://openalex.org/W2798413829","https://openalex.org/W2938903045","https://openalex.org/W2949547296","https://openalex.org/W2950133940","https://openalex.org/W2950577311","https://openalex.org/W2960440238","https://openalex.org/W2962756421","https://openalex.org/W2962897020","https://openalex.org/W2963341956","https://openalex.org/W2963403868","https://openalex.org/W2964204621","https://openalex.org/W2964350391","https://openalex.org/W2973430807","https://openalex.org/W2995421442","https://openalex.org/W3014253013","https://openalex.org/W3014633350","https://openalex.org/W3026955511","https://openalex.org/W3035565303","https://openalex.org/W3041148953","https://openalex.org/W3052930805","https://openalex.org/W3080890765","https://openalex.org/W3099645789","https://openalex.org/W3104097132","https://openalex.org/W6600103761","https://openalex.org/W6601158201","https://openalex.org/W6601211009","https://openalex.org/W6602670149","https://openalex.org/W6698039833"],"related_works":["https://openalex.org/W2548633793","https://openalex.org/W2941935829","https://openalex.org/W3186997021","https://openalex.org/W2997097677","https://openalex.org/W4200618314","https://openalex.org/W4308088897","https://openalex.org/W2911655849","https://openalex.org/W4286432911","https://openalex.org/W3134737443","https://openalex.org/W3170278308"],"abstract_inverted_index":null,"counts_by_year":[{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":14},{"year":2021,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
