{"id":"https://openalex.org/W4387913051","doi":"https://doi.org/10.1109/ict-dm58371.2023.10286961","title":"Determining the Accuracy of Reinforced Model via Sentiment and Technical Analysis as a Stock Market Prediction Technique","display_name":"Determining the Accuracy of Reinforced Model via Sentiment and Technical Analysis as a Stock Market Prediction Technique","publication_year":2023,"publication_date":"2023-09-13","ids":{"openalex":"https://openalex.org/W4387913051","doi":"https://doi.org/10.1109/ict-dm58371.2023.10286961"},"language":"en","primary_location":{"id":"doi:10.1109/ict-dm58371.2023.10286961","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ict-dm58371.2023.10286961","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 International Conference on Information and Communication Technologies for Disaster Management (ICT-DM)","raw_type":"proceedings-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/A5027938306","display_name":"Shubham Agrawal","orcid":"https://orcid.org/0000-0002-0990-9785"},"institutions":[{"id":"https://openalex.org/I36090812","display_name":"Netaji Subhas University of Technology","ror":"https://ror.org/01fczmh85","country_code":"IN","type":"education","lineage":["https://openalex.org/I36090812"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Shubham Agrawal","raw_affiliation_strings":["Netaji Subhas University of Technology,Department of Computer Science and Engineering,New Delhi,India","Department of Computer Science and Engineering, Netaji Subhas University of Technology, New Delhi, India"],"affiliations":[{"raw_affiliation_string":"Netaji Subhas University of Technology,Department of Computer Science and Engineering,New Delhi,India","institution_ids":["https://openalex.org/I36090812"]},{"raw_affiliation_string":"Department of Computer Science and Engineering, Netaji Subhas University of Technology, New Delhi, India","institution_ids":["https://openalex.org/I36090812"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069698727","display_name":"Nitin Kumar","orcid":"https://orcid.org/0000-0001-5502-5748"},"institutions":[{"id":"https://openalex.org/I36090812","display_name":"Netaji Subhas University of Technology","ror":"https://ror.org/01fczmh85","country_code":"IN","type":"education","lineage":["https://openalex.org/I36090812"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Nitin Kumar","raw_affiliation_strings":["Netaji Subhas University of Technology,Department of Computer Science and Engineering,New Delhi,India","Department of Computer Science and Engineering, Netaji Subhas University of Technology, New Delhi, India"],"affiliations":[{"raw_affiliation_string":"Netaji Subhas University of Technology,Department of Computer Science and Engineering,New Delhi,India","institution_ids":["https://openalex.org/I36090812"]},{"raw_affiliation_string":"Department of Computer Science and Engineering, Netaji Subhas University of Technology, New Delhi, India","institution_ids":["https://openalex.org/I36090812"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077775180","display_name":"Geetanjali Rathee","orcid":"https://orcid.org/0000-0002-4761-1912"},"institutions":[{"id":"https://openalex.org/I36090812","display_name":"Netaji Subhas University of Technology","ror":"https://ror.org/01fczmh85","country_code":"IN","type":"education","lineage":["https://openalex.org/I36090812"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Geetanjali Rathee","raw_affiliation_strings":["Netaji Subhas University of Technology,Department of Computer Science and Engineering,New Delhi,India","Department of Computer Science and Engineering, Netaji Subhas University of Technology, New Delhi, India"],"affiliations":[{"raw_affiliation_string":"Netaji Subhas University of Technology,Department of Computer Science and Engineering,New Delhi,India","institution_ids":["https://openalex.org/I36090812"]},{"raw_affiliation_string":"Department of Computer Science and Engineering, Netaji Subhas University of Technology, New Delhi, India","institution_ids":["https://openalex.org/I36090812"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066242048","display_name":"Carlos T. Calafate","orcid":"https://orcid.org/0000-0001-5729-3041"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Carlos T. Calafate","raw_affiliation_strings":["Universitat Politècnica de València,Computer Engineering Department (DISCA),Valencia,Spain"],"affiliations":[{"raw_affiliation_string":"Universitat Politècnica de València,Computer Engineering Department (DISCA),Valencia,Spain","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091140244","display_name":"Chaker Abdelaziz Kerrache","orcid":"https://orcid.org/0000-0001-9990-519X"},"institutions":[{"id":"https://openalex.org/I50219554","display_name":"University of Laghouat","ror":"https://ror.org/018bbh535","country_code":"DZ","type":"education","lineage":["https://openalex.org/I50219554"]}],"countries":["DZ"],"is_corresponding":false,"raw_author_name":"Chaker Abdelaziz Kerrache","raw_affiliation_strings":["Université Amar Telidji de Laghouat,Laboratoire d'Informatique et de Mathématiques,Algeria"],"affiliations":[{"raw_affiliation_string":"Université Amar Telidji de Laghouat,Laboratoire d'Informatique et de Mathématiques,Algeria","institution_ids":["https://openalex.org/I50219554"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5027938306"],"corresponding_institution_ids":["https://openalex.org/I36090812"],"apc_list":null,"apc_paid":null,"fwci":0.5091,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.6966693,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11326","display_name":"Stock Market Forecasting Methods","score":0.9995999932289124,"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":0.9995999932289124,"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/T10609","display_name":"Digital Marketing and Social Media","score":0.9923999905586243,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9912999868392944,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.7929626703262329},{"id":"https://openalex.org/keywords/stock","display_name":"Stock (firearms)","score":0.6707851886749268},{"id":"https://openalex.org/keywords/stock-market","display_name":"Stock market","score":0.6651982069015503},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6195504069328308},{"id":"https://openalex.org/keywords/technical-analysis","display_name":"Technical analysis","score":0.5611966848373413},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.4743030071258545},{"id":"https://openalex.org/keywords/stock-market-prediction","display_name":"Stock market prediction","score":0.4588281810283661},{"id":"https://openalex.org/keywords/market-sentiment","display_name":"Market sentiment","score":0.4414907693862915},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2507314682006836},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.20903587341308594},{"id":"https://openalex.org/keywords/financial-economics","display_name":"Financial economics","score":0.18681618571281433},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08230555057525635}],"concepts":[{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.7929626703262329},{"id":"https://openalex.org/C204036174","wikidata":"https://www.wikidata.org/wiki/Q909380","display_name":"Stock (firearms)","level":2,"score":0.6707851886749268},{"id":"https://openalex.org/C2780299701","wikidata":"https://www.wikidata.org/wiki/Q475000","display_name":"Stock market","level":3,"score":0.6651982069015503},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6195504069328308},{"id":"https://openalex.org/C117245426","wikidata":"https://www.wikidata.org/wiki/Q235038","display_name":"Technical analysis","level":2,"score":0.5611966848373413},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.4743030071258545},{"id":"https://openalex.org/C2776256503","wikidata":"https://www.wikidata.org/wiki/Q7617906","display_name":"Stock market prediction","level":4,"score":0.4588281810283661},{"id":"https://openalex.org/C2781410264","wikidata":"https://www.wikidata.org/wiki/Q440364","display_name":"Market sentiment","level":2,"score":0.4414907693862915},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2507314682006836},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.20903587341308594},{"id":"https://openalex.org/C106159729","wikidata":"https://www.wikidata.org/wiki/Q2294553","display_name":"Financial economics","level":1,"score":0.18681618571281433},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08230555057525635},{"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/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/C2780762169","wikidata":"https://www.wikidata.org/wiki/Q5905368","display_name":"Horse","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ict-dm58371.2023.10286961","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ict-dm58371.2023.10286961","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 International Conference on Information and Communication Technologies for Disaster Management (ICT-DM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.6399999856948853,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W359818833","https://openalex.org/W1651162101","https://openalex.org/W2056135998","https://openalex.org/W2058168013","https://openalex.org/W2121001699","https://openalex.org/W2305374124","https://openalex.org/W2548006041","https://openalex.org/W2566234880","https://openalex.org/W2730480725","https://openalex.org/W2964236337","https://openalex.org/W3110378470","https://openalex.org/W3129995950","https://openalex.org/W3175485275","https://openalex.org/W4391903848"],"related_works":["https://openalex.org/W2586556113","https://openalex.org/W3135178882","https://openalex.org/W2542516223","https://openalex.org/W2624043242","https://openalex.org/W3109225388","https://openalex.org/W3209908847","https://openalex.org/W2110351804","https://openalex.org/W3023530306","https://openalex.org/W2086993069","https://openalex.org/W4375933221"],"abstract_inverted_index":{"The":[0,85,113],"application":[1],"of":[2,35,102,115,124,169],"sentiment":[3,36,51,63,76,129,145],"analysis":[4,37,77,80,132],"as":[5],"a":[6,45,71,99,138],"stock":[7,40,65,93,134,150,161],"market":[8,41,135,144,162],"prediction":[9,163],"technique":[10],"has":[11],"garnered":[12],"significant":[13],"attention":[14],"in":[15,38,173],"recent":[16],"years,":[17],"being":[18],"particularly":[19],"useful":[20],"when":[21],"catastrophic":[22],"situations":[23],"affect":[24],"the":[25,33,116,122,125,153,157,167],"economy.":[26],"This":[27],"research":[28,69],"paper":[29],"aims":[30],"to":[31,82,142,156],"determine":[32],"accuracy":[34,123],"predicting":[39],"movements":[42],"by":[43],"developing":[44],"reinforced":[46,72,126],"model":[47,73,127],"that":[48,74],"integrates":[49],"both":[50],"and":[52,88,95,111,130,146,165],"technical":[53,79,131],"analysis.":[54],"While":[55],"previous":[56],"studies":[57],"have":[58],"focused":[59],"on":[60,149,160],"social":[61],"media":[62],"for":[64,92,133],"price":[66,94],"prediction,":[67,136],"this":[68],"proposes":[70],"combines":[75],"with":[78],"indicators":[81],"enhance":[83],"accuracy.":[84],"study":[86,117],"develops":[87],"tests":[89],"predictive":[90],"models":[91],"trend":[96],"forecasting":[97],"using":[98],"large-scale":[100],"sample":[101],"tweets":[103],"from":[104],"four":[105],"prominent":[106],"companies:":[107],"Apple,":[108],"Google,":[109],"Microsoft,":[110],"Netflix.":[112],"results":[114],"provide":[118],"valuable":[119],"insights":[120],"into":[121],"combining":[128],"offering":[137],"more":[139],"comprehensive":[140],"approach":[141],"understanding":[143],"its":[147],"impact":[148],"prices.":[151],"Further,":[152],"findings":[154],"contribute":[155],"existing":[158],"knowledge":[159],"techniques,":[164],"underscore":[166],"value":[168],"considering":[170],"multiple":[171],"factors":[172],"decision-making":[174],"processes.":[175]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}