{"id":"https://openalex.org/W4378976795","doi":"https://doi.org/10.1109/icai58407.2023.10136658","title":"DeepFinancial Model for Exchange Rate Impacts Prediction of Political and Financial Statements","display_name":"DeepFinancial Model for Exchange Rate Impacts Prediction of Political and Financial Statements","publication_year":2023,"publication_date":"2023-02-22","ids":{"openalex":"https://openalex.org/W4378976795","doi":"https://doi.org/10.1109/icai58407.2023.10136658"},"language":"en","primary_location":{"id":"doi:10.1109/icai58407.2023.10136658","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icai58407.2023.10136658","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 3rd International Conference on Artificial Intelligence (ICAI)","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/A5064926342","display_name":"Muhammad Asad Arshed","orcid":"https://orcid.org/0000-0002-5583-1253"},"institutions":[{"id":"https://openalex.org/I174731842","display_name":"Islamia University of Bahawalpur","ror":"https://ror.org/002rc4w13","country_code":"PK","type":"education","lineage":["https://openalex.org/I174731842"]},{"id":"https://openalex.org/I87482320","display_name":"University of Management and Technology","ror":"https://ror.org/0095xcq10","country_code":"PK","type":"education","lineage":["https://openalex.org/I87482320"]}],"countries":["PK"],"is_corresponding":true,"raw_author_name":"Muhammad Asad Arshed","raw_affiliation_strings":["The Islamia University of Bahawalpur,Department of Computer Science,Bahawalpur,Pakistan","Department of Computer Science, The Islamia University of Bahawalpur, Bahawalpur, Pakistan","School of Systems and Technology, University of Management and Technology, Lahore, Pakistan"],"affiliations":[{"raw_affiliation_string":"The Islamia University of Bahawalpur,Department of Computer Science,Bahawalpur,Pakistan","institution_ids":["https://openalex.org/I174731842"]},{"raw_affiliation_string":"Department of Computer Science, The Islamia University of Bahawalpur, Bahawalpur, Pakistan","institution_ids":["https://openalex.org/I174731842"]},{"raw_affiliation_string":"School of Systems and Technology, University of Management and Technology, Lahore, Pakistan","institution_ids":["https://openalex.org/I87482320"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028514360","display_name":"Shahzad Mumtaz","orcid":"https://orcid.org/0000-0003-2606-2405"},"institutions":[{"id":"https://openalex.org/I174731842","display_name":"Islamia University of Bahawalpur","ror":"https://ror.org/002rc4w13","country_code":"PK","type":"education","lineage":["https://openalex.org/I174731842"]}],"countries":["PK"],"is_corresponding":false,"raw_author_name":"Shahzad Mumtaz","raw_affiliation_strings":["The Islamia University of Bahawalpur,Department of Computer Science,Bahawalpur,Pakistan","Department of Computer Science, The Islamia University of Bahawalpur, Bahawalpur, Pakistan"],"affiliations":[{"raw_affiliation_string":"The Islamia University of Bahawalpur,Department of Computer Science,Bahawalpur,Pakistan","institution_ids":["https://openalex.org/I174731842"]},{"raw_affiliation_string":"Department of Computer Science, The Islamia University of Bahawalpur, Bahawalpur, Pakistan","institution_ids":["https://openalex.org/I174731842"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109610388","display_name":"Mehmood Hussain","orcid":null},"institutions":[{"id":"https://openalex.org/I87482320","display_name":"University of Management and Technology","ror":"https://ror.org/0095xcq10","country_code":"PK","type":"education","lineage":["https://openalex.org/I87482320"]}],"countries":["PK"],"is_corresponding":false,"raw_author_name":"Mehmood Hussain","raw_affiliation_strings":["University of Management and Technology,Department of Artificial Intelligence,Lahore,Pakistan","Department of Artificial Intelligence, University of Management and Technology, Lahore, Pakistan"],"affiliations":[{"raw_affiliation_string":"University of Management and Technology,Department of Artificial Intelligence,Lahore,Pakistan","institution_ids":["https://openalex.org/I87482320"]},{"raw_affiliation_string":"Department of Artificial Intelligence, University of Management and Technology, Lahore, Pakistan","institution_ids":["https://openalex.org/I87482320"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047579649","display_name":"Rabbia Alamdar","orcid":null},"institutions":[{"id":"https://openalex.org/I43729321","display_name":"National College of Business Administration and Economics","ror":"https://ror.org/02my4wj17","country_code":"PK","type":"education","lineage":["https://openalex.org/I43729321"]}],"countries":["PK"],"is_corresponding":false,"raw_author_name":"Rabbia Alamdar","raw_affiliation_strings":["National College of Business Administration &#x0026; Economics,Department of Computer Science,Lahore,Pakistan"],"affiliations":[{"raw_affiliation_string":"National College of Business Administration &#x0026; Economics,Department of Computer Science,Lahore,Pakistan","institution_ids":["https://openalex.org/I43729321"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058033138","display_name":"Malik Tahir Hassan","orcid":"https://orcid.org/0000-0002-0651-5297"},"institutions":[{"id":"https://openalex.org/I87482320","display_name":"University of Management and Technology","ror":"https://ror.org/0095xcq10","country_code":"PK","type":"education","lineage":["https://openalex.org/I87482320"]}],"countries":["PK"],"is_corresponding":false,"raw_author_name":"Malik Tahir Hassan","raw_affiliation_strings":["School of Systems and Technology, University of Management and Technology,Lahore,Pakistan","School of Systems and Technology, University of Management and Technology, Lahore, Pakistan"],"affiliations":[{"raw_affiliation_string":"School of Systems and Technology, University of Management and Technology,Lahore,Pakistan","institution_ids":["https://openalex.org/I87482320"]},{"raw_affiliation_string":"School of Systems and Technology, University of Management and Technology, Lahore, Pakistan","institution_ids":["https://openalex.org/I87482320"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040138369","display_name":"Muhammad Tanveer","orcid":"https://orcid.org/0000-0001-9836-9970"},"institutions":[{"id":"https://openalex.org/I87482320","display_name":"University of Management and Technology","ror":"https://ror.org/0095xcq10","country_code":"PK","type":"education","lineage":["https://openalex.org/I87482320"]}],"countries":["PK"],"is_corresponding":false,"raw_author_name":"Muhammad Tanveer","raw_affiliation_strings":["School of Systems and Technology, University of Management and Technology,Lahore,Pakistan","School of Systems and Technology, University of Management and Technology, Lahore, Pakistan"],"affiliations":[{"raw_affiliation_string":"School of Systems and Technology, University of Management and Technology,Lahore,Pakistan","institution_ids":["https://openalex.org/I87482320"]},{"raw_affiliation_string":"School of Systems and Technology, University of Management and Technology, Lahore, Pakistan","institution_ids":["https://openalex.org/I87482320"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5064926342"],"corresponding_institution_ids":["https://openalex.org/I174731842","https://openalex.org/I87482320"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.07199462,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"13","last_page":"19"},"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/T11052","display_name":"Energy Load and Power Forecasting","score":0.9959999918937683,"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/T11059","display_name":"Market Dynamics and Volatility","score":0.9886000156402588,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"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/overfitting","display_name":"Overfitting","score":0.8244783878326416},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6952455043792725},{"id":"https://openalex.org/keywords/exchange-rate","display_name":"Exchange rate","score":0.657307505607605},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6364076137542725},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5838636159896851},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.531841516494751},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5226166844367981},{"id":"https://openalex.org/keywords/logistic-regression","display_name":"Logistic regression","score":0.4744468927383423},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.4580897092819214},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.4371159076690674},{"id":"https://openalex.org/keywords/financial-market","display_name":"Financial market","score":0.4139356315135956},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.35645586252212524},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.22323843836784363},{"id":"https://openalex.org/keywords/finance","display_name":"Finance","score":0.19519665837287903},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.1719198226928711},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.11084911227226257}],"concepts":[{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.8244783878326416},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6952455043792725},{"id":"https://openalex.org/C2776988154","wikidata":"https://www.wikidata.org/wiki/Q66100","display_name":"Exchange rate","level":2,"score":0.657307505607605},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6364076137542725},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5838636159896851},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.531841516494751},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5226166844367981},{"id":"https://openalex.org/C151956035","wikidata":"https://www.wikidata.org/wiki/Q1132755","display_name":"Logistic regression","level":2,"score":0.4744468927383423},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.4580897092819214},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.4371159076690674},{"id":"https://openalex.org/C19244329","wikidata":"https://www.wikidata.org/wiki/Q208697","display_name":"Financial market","level":2,"score":0.4139356315135956},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.35645586252212524},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.22323843836784363},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.19519665837287903},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.1719198226928711},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.11084911227226257}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icai58407.2023.10136658","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icai58407.2023.10136658","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 3rd International Conference on Artificial Intelligence (ICAI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Decent work and economic growth","score":0.75,"id":"https://metadata.un.org/sdg/8"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1525023432","https://openalex.org/W1983381518","https://openalex.org/W2074384921","https://openalex.org/W2171468534","https://openalex.org/W2240390999","https://openalex.org/W2295124130","https://openalex.org/W2585958134","https://openalex.org/W2727968912","https://openalex.org/W2777097994","https://openalex.org/W2963709789","https://openalex.org/W3021970402","https://openalex.org/W4236531915","https://openalex.org/W6690448778","https://openalex.org/W6747097715"],"related_works":["https://openalex.org/W1574414179","https://openalex.org/W4362597605","https://openalex.org/W3009056573","https://openalex.org/W2922073769","https://openalex.org/W4297676672","https://openalex.org/W4281702477","https://openalex.org/W4378510483","https://openalex.org/W2991587282","https://openalex.org/W4288018740","https://openalex.org/W3008919350"],"abstract_inverted_index":{"The":[0,100],"extensive":[1],"use":[2],"of":[3,19,26,50,72,117,138,154],"social":[4,14,27],"media":[5],"led":[6],"people":[7],"to":[8,113,142],"share":[9],"emotions":[10],"and":[11,35,57,86,120,148,160],"opinions":[12],"on":[13],"sites.":[15],"Currently,":[16],"the":[17,20,24,48,51,115,118,135,152],"prediction":[18,49,153],"exchange":[21,52,155],"rate":[22,53,156],"with":[23,55,95,134,158],"content":[25],"sites,":[28],"specifically":[29],"Twitter,":[30],"is":[31,105,132],"an":[32],"active":[33],"research":[34],"challenge.":[36],"In":[37,61],"this":[38,62,108],"study,":[39,63],"we":[40,64],"have":[41,65],"proposed":[42,127],"a":[43],"deep":[44,121],"learning":[45,122,125],"model":[46,128],"for":[47,76,88,110,151],"fluctuation":[54,157],"political":[56,159],"financial":[58,161],"statements":[59,162],"sentiments.":[60,163],"considered":[66,91],"USD":[67],"dollar":[68],"rates":[69,75],"in":[70,107],"terms":[71],"PKR":[73],"currency":[74],"experiments":[77],"as":[78,80,140],"well":[79],"collective":[81],"sentiment":[82],"technique":[83,104],"(positive,":[84],"negative,":[85],"neutral":[87],"each":[89],"day)":[90],"after":[92],"data":[93,111],"preprocessing":[94],"natural":[96],"language":[97],"processing":[98],"techniques.":[99],"Adaptive":[101],"Synthetic":[102],"(ADASYN)":[103],"used":[106],"study":[109],"balancing":[112],"avoid":[114],"overfitting":[116],"machine":[119],"models.":[123],"Deep":[124],"based":[126],"named":[129],"\u201cDeep":[130],"Financial\u201d":[131],"effective":[133],"highest":[136],"accuracy":[137],"87.54%":[139],"compared":[141],"Support":[143],"Vector":[144],"Machine,":[145],"K-Nearest":[146],"Neighbor":[147],"Logistic":[149],"Regression,":[150]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
