NATURAL LANGUAGE PROCESSING IN FINANCIAL TECHNOLOGY: APPLICATIONS, ARCHITECTURE, AND IMPLEMENTATION CHALLENGES
Keywords:
Financial Technology Integration, Natural Language Processing, Risk Management Systems, Quantum Computing Applications, Security ImplementationAbstract
This comprehensive analysis explores the architectural frameworks, implementation methodologies, and technical challenges of Natural Language Processing systems within financial technology applications. The study examines the evolution of NLP technologies in finance, focusing on core system architectures, integration patterns, and emerging developments. The article investigates how NLP-driven automation transforms financial services across customer service, compliance, risk management, and analytics. Through detailed article of implementation patterns and security considerations, this paper provides insights into the current state and future trajectory of NLP applications in finance, highlighting both challenges and potential solutions in the rapidly evolving landscape of financial technology.
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Copyright (c) 2025 Raghavendra Gandhi Raketla (Author)
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
