Analysis of emotions on Twitter(X) through MASOES Affective Model

This work focuses on the areas of natural language processing and affective computing, as it analyzes the emotions and behaviors of users on Twitter (X), at both individual and collective levels, in the Spanish language. For this purpose, the affective model of MASOES is implemented in an area where it has not been applied before, making it useful for contrasting different political scenarios in Chile during October 2023. This allows the establishment of the level of satisfaction and dissatisfaction of users in each scenario through positive and negative emotions at both individual and collective levels. The implementation is verified by comparing the obtained results with the sentiments expressed by the Chilean population during the same period through the Cadem survey. Generally, a marked polarization in collective emotions is observed, which often occurs in the political environment where there are typically two opposing ideological sides.