Please use this identifier to cite or link to this item: https://www.um.edu.mt/library/oar/handle/123456789/120651
Title: Natural language processing and multimedia applications in finance
Other Titles: Intelligent multimedia technologies for financial risk management : trends, tools and applications
Authors: Dhatterwal, Jagjit Singh
Kaswan, Kuldeep Singh
Sood, Kiran
Grima, Simon
Keywords: Finance -- Data processing
Finance -- Technological innovation
Banks and banking -- Technological innovations
Financial services industry -- Technological innovations
Natural language processing (Computer science)
Artificial intelligence
Machine learning
Issue Date: 2023
Publisher: 9781839536618
Citation: Dhatterwal, J. S., Kaswan, K. S., Sood, K., & Grima, S. (2023). Natural language processing and multimedia applications in finance. In S. Grima, K. Sood, B. Rawal, B. Balusamy, E. Özen, & G. G. G. Goh (Eds.), Intelligent multimedia technologies for financial risk management: trends, tools and applications (pp. 161-182). United Kingdom: Institution of Engineering and Technology.
Abstract: The innovation of multimedia apps has accelerated in recent years. Developing technology and techniques enable the construction of massive multimedia archives and the construction of new intervention techniques. This chapter presents an overview of multimodal applications that extensively use natural speech. Conventional multifunctional systems often do not save explicit reconstructions of user input and merely manage mode integrating in an introductory manner. This chapter demonstrates how expanding techniques and conceptual representation frameworks established for natural linguistic structures can aid in resolving some of these issues. It examines strategies for developing autonomous multimedia instructional systems based on lessons acquired while creating machine-creating synthesizers. Finally, it contends that using natural language technology can result in a quantitative upgrade of existing approaches for following form and interpretation.
URI: https://www.um.edu.mt/library/oar/handle/123456789/120651
ISBN: 9781839536618
Appears in Collections:Scholarly Works - FacEMAIns

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