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What is Financial Profile (People)

Handbook of Research on Applied Artificial Intelligence and Robotics for Government Processes
Set of characteristics and persistent indicators, which reflects the degree of inclusion in formal products, the level of liquidity, the capacity of resilience in the face of fortuitous events and the status in the construction and achievement of goals, which affect the perception of the Financial Well-being of the Individual.
Published in Chapter:
Strengthening of Financial Profiles in Latin America: From the Lack of Interest to the Proposal of a Web Platform for Remote Advice
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)
DOI: 10.4018/978-1-6684-5624-8.ch013
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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