Factors Influence Customer Satisfaction of International Remittances / International Money Transfers Services Using Ensemble Machine Learning

Pulikkottil Thambi, Abeen (2023) Factors Influence Customer Satisfaction of International Remittances / International Money Transfers Services Using Ensemble Machine Learning. Masters thesis, Dublin, National College of Ireland.

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Abstract

Remittances are essential financial outflows that overseas workers, students, and immigrants pay back to their home countries, and they have a significant impact on the receivers' welfare. If we wish to improve financial services, it is crucial to understand the factors influencing remittance satisfaction. This study uses a large dataset that contains socioeconomic and demographic information of beneficiaries to create precise forecasting models. The study carefully assesses and compares various classification schemes to find which is the most effective. The classification of remittance satisfaction is studied in this research using machine learning algorithms and bagging techniques including Random Forest, Decision tree, and Gradient Boost. The paper proposes an enhanced comparison across various sentiments and feelings of customer usage of the various remittance applications and discusses the hyper kernel extraction of satisfactory results via RF, DT and GB. A vivid discussion of results and discussion is also shown below.

The results have significant ramifications for financial institutions and service providers, allowing them to improve services and better cater to the requirements of remittance beneficiaries.

Item Type:	Thesis (Masters)
Supervisors:	Name Email Del Rosal, Victor UNSPECIFIED
Uncontrolled Keywords:	Remittances; Ireland; Transfers; Satisfaction
Subjects:	H Social Sciences > HJ Public Finance H Social Sciences > HG Finance > Fintech T Technology > T Technology (General) > Information Technology > Fintech H Social Sciences > HG Finance > International Finance. International Monetary System Q Science > Q Science (General) > Self-organizing systems. Conscious automata > Machine learning
Divisions:	School of Computing > Master of Science in FinTech
Depositing User:	Tamara Malone
Date Deposited:	09 Aug 2024 12:56
Last Modified:	09 Aug 2024 12:56
URI:	https://norma.ncirl.ie/id/eprint/7028

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