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Strengthening of Financial Profiles in Latin America: From the Lack of Interest to the Proposal of a Web Platform for Remote Advice

Strengthening of Financial Profiles in Latin America: From the Lack of Interest to the Proposal of a Web Platform for Remote Advice
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Author(s): Asdrúbal López-Chau (Universidad Autónoma del Estado de México, Mexico), Laura Angélica Décaro-Santiago (Universidad Autónoma del Estado de México, Mexico), Valentin Trujillo-Mora (Universidad Autónoma del Estado de México, Mexico), Felipe Casto-Medina (Technological Institute of Orizaba, Mexico), Elvira Ivone González Jaimes (Universidad Autónoma del Estado de México, Mexico), Rafael Rojas-Hernández (Universidad Autónoma del Estado de México, Mexico)and Maria Guadalupe Soriano-Hernández (Universidad Autónoma del Estado de México, Mexico)
Copyright: 2023
Pages: 29
Source title: Handbook of Research on Applied Artificial Intelligence and Robotics for Government Processes
Source Author(s)/Editor(s): David Valle-Cruz (Universidad Autónoma del Estado de México, Mexico), Nely Plata-Cesar (Universidad Autónoma del Estado de México, Mexico)and Jacobo Leonardo González-Ruíz (Universidad Autónoma del Estado de México, Mexico)
DOI: 10.4018/978-1-6684-5624-8.ch013

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Abstract

The financial profile of natural and legal persons allows financial institutions and financial services companies to identify the level of default of credit applicants. In this way, maintaining a healthy financial profile is derived from a positive history and status, the result of good financial decisions. In Latin America, the vast majority of people pay little attention to strengthening this type of profile, and it is a subject that is rarely addressed on the most popular social media platforms. In this chapter, a search for opinions of Latin Americans regarding the financial profile on the Twitter social network was made, finding that there is a very small number of responses to publications on this topic. Therefore, a web platform is proposed to provide advice on this important issue. The general design of a module for text analysis using sentiment analysis and machine learning techniques is also proposed.

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