{"id":"https://openalex.org/W4377292358","doi":"https://doi.org/10.1109/access.2023.3278790","title":"A Stock Price Prediction Model Based on Investor Sentiment and Optimized Deep Learning","display_name":"A Stock Price Prediction Model Based on Investor Sentiment and Optimized Deep Learning","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4377292358","doi":"https://doi.org/10.1109/access.2023.3278790"},"language":"en","primary_location":{"id":"doi:10.1109/access.2023.3278790","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3278790","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/10005208/10130578.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/10005208/10130578.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5080965236","display_name":"Guangyu Mu","orcid":"https://orcid.org/0000-0002-0199-3978"},"institutions":[{"id":"https://openalex.org/I179324530","display_name":"Jilin University of Finance and Economics","ror":"https://ror.org/04az9eh24","country_code":"CN","type":"education","lineage":["https://openalex.org/I179324530"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guangyu Mu","raw_affiliation_strings":["School of Management Science and Information Engineering, Jilin University of Finance and Economics, Changchun, China","Key Laboratory of Financial Technology of Jilin Province, Changchun, China"],"raw_orcid":"https://orcid.org/0000-0002-0199-3978","affiliations":[{"raw_affiliation_string":"School of Management Science and Information Engineering, Jilin University of Finance and Economics, Changchun, China","institution_ids":["https://openalex.org/I179324530"]},{"raw_affiliation_string":"Key Laboratory of Financial Technology of Jilin Province, Changchun, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100599857","display_name":"Gao Nan","orcid":"https://orcid.org/0000-0001-7482-7447"},"institutions":[{"id":"https://openalex.org/I179324530","display_name":"Jilin University of Finance and Economics","ror":"https://ror.org/04az9eh24","country_code":"CN","type":"education","lineage":["https://openalex.org/I179324530"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Nan Gao","raw_affiliation_strings":["School of Management Science and Information Engineering, Jilin University of Finance and Economics, Changchun, China"],"raw_orcid":"https://orcid.org/0000-0001-7482-7447","affiliations":[{"raw_affiliation_string":"School of Management Science and Information Engineering, Jilin University of Finance and Economics, Changchun, China","institution_ids":["https://openalex.org/I179324530"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087315118","display_name":"Yuhan Wang","orcid":"https://orcid.org/0000-0002-2773-3584"},"institutions":[{"id":"https://openalex.org/I179324530","display_name":"Jilin University of Finance and Economics","ror":"https://ror.org/04az9eh24","country_code":"CN","type":"education","lineage":["https://openalex.org/I179324530"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuhan Wang","raw_affiliation_strings":["School of Management Science and Information Engineering, Jilin University of Finance and Economics, Changchun, China"],"raw_orcid":"https://orcid.org/0000-0002-2773-3584","affiliations":[{"raw_affiliation_string":"School of Management Science and Information Engineering, Jilin University of Finance and Economics, Changchun, China","institution_ids":["https://openalex.org/I179324530"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5114007386","display_name":"Dai Li","orcid":"https://orcid.org/0009-0004-6208-6505"},"institutions":[{"id":"https://openalex.org/I179324530","display_name":"Jilin University of Finance and Economics","ror":"https://ror.org/04az9eh24","country_code":"CN","type":"education","lineage":["https://openalex.org/I179324530"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Dai","raw_affiliation_strings":["School of Management Science and Information Engineering, Jilin University of Finance and Economics, Changchun, China"],"raw_orcid":"https://orcid.org/0009-0004-6208-6505","affiliations":[{"raw_affiliation_string":"School of Management Science and Information Engineering, Jilin University of Finance and Economics, Changchun, China","institution_ids":["https://openalex.org/I179324530"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I179324530"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":21.1097,"has_fulltext":true,"cited_by_count":95,"citation_normalized_percentile":{"value":0.99726067,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"11","issue":null,"first_page":"51353","last_page":"51367"},"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/T10047","display_name":"Financial Markets and Investment Strategies","score":0.995199978351593,"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":0.9939000010490417,"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":0.661071240901947},{"id":"https://openalex.org/keywords/stock-price","display_name":"Stock price","score":0.5599631667137146},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5373586416244507},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.5208026170730591},{"id":"https://openalex.org/keywords/stock","display_name":"Stock (firearms)","score":0.5015108585357666},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4924982488155365},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.42487335205078125},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.37769243121147156},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.13283473253250122}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.661071240901947},{"id":"https://openalex.org/C2988984586","wikidata":"https://www.wikidata.org/wiki/Q1020013","display_name":"Stock price","level":3,"score":0.5599631667137146},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5373586416244507},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.5208026170730591},{"id":"https://openalex.org/C204036174","wikidata":"https://www.wikidata.org/wiki/Q909380","display_name":"Stock (firearms)","level":2,"score":0.5015108585357666},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4924982488155365},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.42487335205078125},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.37769243121147156},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.13283473253250122},{"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/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"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/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2023.3278790","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3278790","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/10005208/10130578.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:10855c0fb2a84339abe8725770ddabc2","is_oa":true,"landing_page_url":"https://doaj.org/article/10855c0fb2a84339abe8725770ddabc2","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 11, Pp 51353-51367 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2023.3278790","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3278790","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/10005208/10130578.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1736918349","display_name":null,"funder_award_id":"19BJY246","funder_id":"https://openalex.org/F4320327557","funder_display_name":"National Office for Philosophy and Social Sciences"},{"id":"https://openalex.org/G3072605574","display_name":null,"funder_award_id":"19BJY246","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3452245142","display_name":null,"funder_award_id":"21ZY61","funder_id":"https://openalex.org/F4320325913","funder_display_name":"Changchun Science and Technology Bureau"},{"id":"https://openalex.org/G3565922078","display_name":null,"funder_award_id":"20190201186JC","funder_id":"https://openalex.org/F4320327282","funder_display_name":"Department of Science and Technology of Jilin Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322174","display_name":"People's Government of Jilin Province","ror":"https://ror.org/02fzqav45"},{"id":"https://openalex.org/F4320325913","display_name":"Changchun Science and Technology Bureau","ror":null},{"id":"https://openalex.org/F4320327282","display_name":"Department of Science and Technology of Jilin Province","ror":null},{"id":"https://openalex.org/F4320327557","display_name":"National Office for Philosophy and Social Sciences","ror":"https://ror.org/04m0ms912"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4377292358.pdf","grobid_xml":"https://content.openalex.org/works/W4377292358.grobid-xml"},"referenced_works_count":39,"referenced_works":["https://openalex.org/W1847550128","https://openalex.org/W2025291942","https://openalex.org/W2025619592","https://openalex.org/W2039796390","https://openalex.org/W2041403160","https://openalex.org/W2050643653","https://openalex.org/W2064675550","https://openalex.org/W2066017952","https://openalex.org/W2072007696","https://openalex.org/W2121702267","https://openalex.org/W2243366343","https://openalex.org/W2303916163","https://openalex.org/W2358990760","https://openalex.org/W2484997644","https://openalex.org/W2557721353","https://openalex.org/W2606878197","https://openalex.org/W2794757410","https://openalex.org/W2885195348","https://openalex.org/W2896827527","https://openalex.org/W2963848964","https://openalex.org/W2973508239","https://openalex.org/W2983499475","https://openalex.org/W2990597424","https://openalex.org/W2998553334","https://openalex.org/W3014278717","https://openalex.org/W3024836774","https://openalex.org/W3117182521","https://openalex.org/W3124174211","https://openalex.org/W3126479554","https://openalex.org/W3134798453","https://openalex.org/W3201423477","https://openalex.org/W4200298083","https://openalex.org/W4220696253","https://openalex.org/W4235204334","https://openalex.org/W4237584660","https://openalex.org/W4293065728","https://openalex.org/W4297903005","https://openalex.org/W4312893220","https://openalex.org/W6770437105"],"related_works":["https://openalex.org/W4380075502","https://openalex.org/W247222457","https://openalex.org/W1488120909","https://openalex.org/W3124131549","https://openalex.org/W2152348935","https://openalex.org/W2887069341","https://openalex.org/W2554106722","https://openalex.org/W1797892342","https://openalex.org/W4240248738","https://openalex.org/W3008476150"],"abstract_inverted_index":{"Accurate":[0],"prediction":[1,157],"of":[2,117,163],"stock":[3,19,87],"prices":[4,20,88],"can":[5,133],"reduce":[6],"investment":[7],"risks":[8],"and":[9,21,28,51,65,75,81,101,154],"increase":[10],"returns.":[11],"This":[12],"paper":[13],"combines":[14],"the":[15,33,39,47,53,57,63,72,90,95,99,110,130,135,150,156],"multi-source":[16],"data":[17,78],"affecting":[18],"applies":[22],"sentiment":[23,49,54,73,131],"analysis,":[24],"swarm":[25],"intelligence":[26],"algorithm,":[27],"deep":[29],"learning":[30],"to":[31,45,85],"build":[32],"MS-SSA-LSTM":[34,96,118],"model.":[35],"Firstly,":[36],"we":[37],"crawl":[38],"East":[40],"Money":[41],"forum":[42],"posts":[43],"information":[44],"establish":[46],"unique":[48],"dictionary":[50],"calculate":[52],"index.":[55],"Then,":[56],"Sparrow":[58],"Search":[59],"Algorithm":[60],"(SSA)":[61],"optimizes":[62],"Long":[64],"Short-Term":[66],"Memory":[67],"network":[68],"(LSTM)":[69],"hyperparameters.":[70],"Finally,":[71],"index":[74,132],"fundamental":[76],"trading":[77],"are":[79,143],"integrated,":[80],"LSTM":[82],"is":[83,119,167],"used":[84],"forecast":[86],"in":[89],"future.":[91],"Experiments":[92],"demonstrate":[93],"that":[94],"model":[97,151],"outperforms":[98],"others":[100],"has":[102],"high":[103,161],"universal":[104],"applicability.":[105],"Compared":[106],"with":[107],"standard":[108],"LSTM,":[109],"<inline-formula":[111],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[112],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">":[113],"<tex-math":[114],"notation=\"LaTeX\">$R^{2}$":[115],"</tex-math></inline-formula>":[116],"improved":[120],"by":[121],"10.74%":[122],"on":[123],"average.":[124],"We":[125],"found":[126],"that:":[127],"1)":[128],"Adding":[129],"enhance":[134],"model\u2019s":[136],"predictive":[137],"performance.":[138],"2)":[139],"The":[140,160],"LSTM\u2019s":[141],"hyperparameters":[142],"optimized":[144],"using":[145],"SSA,":[146],"which":[147],"objectively":[148],"explains":[149],"parameter":[152],"settings":[153],"improves":[155],"effect.":[158],"3)":[159],"volatility":[162],"China\u2019s":[164],"financial":[165],"market":[166],"more":[168],"suitable":[169],"for":[170],"short-term":[171],"prediction.":[172]},"counts_by_year":[{"year":2026,"cited_by_count":13},{"year":2025,"cited_by_count":45},{"year":2024,"cited_by_count":30},{"year":2023,"cited_by_count":7}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}