Ugur, O.Kalay, T.Demirel, O.Yildirim, S.2024-07-182024-07-1820229781665459952https://doi.org/10.1109/IISEC56263.2022.9998106https://hdl.handle.net/11411/64143rd International Informatics and Software Engineering Conference, IISEC 2022 -- 15 December 2022 through 16 December 2022 -- -- 185735In 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.eninfo:eu-repo/semantics/closedAccessDeep LearningFinancial ServicesFintechNatural Language ProcessingCharacter RecognitionClassification (Of İnformation)Deep LearningFinancial Data ProcessingInformation ManagementLearning SystemsNatural Language Processing SystemsText ProcessingCompany PortfolioDeep LearningFinancial ServiceIntelligence SystemsLanguage ProcessingLanguage Processing TechniquesNatural Language ProcessingNatural LanguagesOnline NewsPowerInvestmentsConference Object2-s2.0-8514637088910.1109/IISEC56263.2022.9998106N/A