BETO Emotion Analysis of Facebook Users Reacting to Major Media Outlets in Costa Rica

Abstract

An emotion analysis service, based on Transfer Learning, was built using BETO, and applied to Facebook posts written in Spanish. The system was tested using comments related to the anniversary of major media outlets in Costa Rica, the comments on these posts provide insight into the public opinion towards the mentioned media outlet. After collecting the comments and processing them into the emotion analyzer, the most common feelings for each media where: Amelia Rueda (joy), La Nación (anger and sadness) and Teletica.com (joy and anger).