International Research Journal of Innovations in Engineering and Technology - IRJIET International Open Access, Monthly, Peer Reviewed, Reputed Journal ISSN (online): 2581-3048

Impact Factor (2025): 6.9

DOI Prefix: 10.47001/IRJIET

Data Mining-Based Transaction Labelling Enhancing Financial Insights through Automated Technique

Abstract

During the most recent era, it has been suggested that various accounts be maintained that preserve the application of natural language text inputs that are submitted as the financial transactions (debit and credit entries) that are automatically generated are the inquiries and responses to specific queries. Machine learning serves as the basis for AI-powered categorization in the process described above. This categorization method makes use of deep learning, natural language processing procedures, and other techniques to improve its algorithms for conducting the operations. It is necessary to employ data mining techniques to carry out predictive modelling that is founded on data analytics. The process of machine learning involves the existence of a vast array of data kinds. Here are some ways that use natural language processing to carry out transaction processing based on data description. Following that, several real-time applications that are special to the financial sector were addressed, each of which was based on a different technique that was being implemented. As a result, a variety of problems and potential solutions are addressed based on the performance of the various methodologies achieved through the utilization of various performance measures.

Country : USA

1 Praneeth Reddy Amudala Puchakayala

  1. Data scientist, Regions Bank, USA

IRJIET, Volume 7, Issue 5, May 2023 pp. 362-376

doi.org/10.47001/IRJIET/2023.705054

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