En este artículo se muestra una aplicación de la minería de textos para extraer información de documentos financieros y usar esta información para crear índices de sentimiento. En particular, el análisis se centra en los diferentes números del Informe de Estabilidad Financiera (IEF) del...

Background: The usage of intelligent personal assistants (IPA), such as Amazon Alexa or Google Assistant is increasing significantly, and voice-interaction is relevant for workflows in a business context. Objectives: This research aims to determine IPA characteristics to evaluate the usefulness...

In any data science and analytics project, the task of mapping a domain-specific problem to an adequate set of data mining methods by experts of the field is a crucial step. However, these experts are not always available and data mining novices may be required to perform the task. While there...

This paper investigated the usage of artificial intelligence and text mining techniques for classification of court judgments and discussed potential alternative applications in formulation and evaluation of public policies. Besides, we built a survey of studies related to Jurimetry based on the...

We show that the news is a rich source of data on distressed firm links that drive firm- level and aggregate risks. The news tends to report about links in which a less popular firm is distressed and may contaminate a more popular firm. This constitutes a contagion channel that yields...

Few studies on foreign exchange intervention convincingly address the causal effect of intervention on exchange rates. By using a narrative approach, I address a major issue in the literature: the endogeneity of intraday news which influence the exchange rate alongside central bank operations....