Leveraging the power of Natural Language Processing for Financial Intelligence System

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dc.authorscopusid57221817798
dc.authorscopusid58067724500
dc.authorscopusid58065006900
dc.authorscopusid23096618000
dc.contributor.authorUgur, O.
dc.contributor.authorKalay, T.
dc.contributor.authorDemirel, O.
dc.contributor.authorYildirim, S.
dc.date.accessioned2024-07-18T20:17:10Z
dc.date.available2024-07-18T20:17:10Z
dc.date.issued2022
dc.description3rd International Informatics and Software Engineering Conference, IISEC 2022 -- 15 December 2022 through 16 December 2022 -- -- 185735en_US
dc.description.abstractIn this study, we aim to exploit natural language processing (NLP) techniques to develop a financial intelligence system that understands and analyzes online news channels on the basis of companies filtered by specific keywords. The system enables us to immediately notify potential opportunities and threats that may arise for the relevant company portfolio and to take the necessary actions. The architecture can enrich portfolio management, increase a company's credit profitability, offer finance-specific functions and use time and resources effectively in collecting and evaluating information through various metrics. In this direction, we designated an infrastructure and addressed a wide variety of NLP issues to execute the system modules. Various NLP tasks such as text classification, text regression, impact measurement, and Named-Entity Recognition have been successfully solved with the latest techniques. Not only traditional machine learning techniques but also modern deep learning architectures such as RNN and Transformers have been utilized to solve financial tasks. © 2022 IEEE.en_US
dc.description.sponsorship3210215; British Interplanetary Society, BISen_US
dc.description.sponsorshipACKNOWLEDGMENT This study was carried out by BIS Çözüm R&D Center and was supported by TÜBİTAK-TEYDEB under the name of "Financial Intelligence and Analytics System" (Project code: 3210215) and by the General Directorate of R&D Incentives of the Ministry of Industry and Technology (T.C. Sanayi ve Teknoloji Bakanlığı). We also thank Mr. Mustafa BÖLÜKBAŞ for project management and Mr. Behçet TEUMAN for sharing expertise in finance.en_US
dc.identifier.doi10.1109/IISEC56263.2022.9998106
dc.identifier.isbn9781665459952
dc.identifier.scopus2-s2.0-85146370889en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.urihttps://doi.org/10.1109/IISEC56263.2022.9998106
dc.identifier.urihttps://hdl.handle.net/11411/6414
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.ispartof3rd International Informatics and Software Engineering Conference, IISEC 2022en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectDeep Learningen_US
dc.subjectFinancial Servicesen_US
dc.subjectFintechen_US
dc.subjectNatural Language Processingen_US
dc.subjectCharacter Recognitionen_US
dc.subjectClassification (Of İnformation)en_US
dc.subjectDeep Learningen_US
dc.subjectFinancial Data Processingen_US
dc.subjectInformation Managementen_US
dc.subjectLearning Systemsen_US
dc.subjectNatural Language Processing Systemsen_US
dc.subjectText Processingen_US
dc.subjectCompany Portfolioen_US
dc.subjectDeep Learningen_US
dc.subjectFinancial Serviceen_US
dc.subjectIntelligence Systemsen_US
dc.subjectLanguage Processingen_US
dc.subjectLanguage Processing Techniquesen_US
dc.subjectNatural Language Processingen_US
dc.subjectNatural Languagesen_US
dc.subjectOnline Newsen_US
dc.subjectPoweren_US
dc.subjectInvestmentsen_US
dc.titleLeveraging the power of Natural Language Processing for Financial Intelligence System
dc.typeConference Object

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