AUTOCOP - Herramienta para clasificar opiniones políticas en Twitter

“Es un clasificador de tuits políticos en tiempo real que permite distinguir entre sentimientos positivos, neutros y negativos. Lo hemos desarrollado a partir de la técnica de análisis de sentimientos supervisado, que utiliza algoritmos de aprendizaje automático basado en inteligencia artificial”, explica a DiCYT Carlos Arcila Calderón, investigador del Departamento de Sociología y Comunicación de la Universidad de Salamanca. ___________________ AUTOCOP: A tool to classify political opinions on Twitter The University of Salamanca has developed a real-time tuit classifier that works in the cloud through an automatic learning process Social networks have become a prime space for public debate and among them Twitter especially stands out in the field of politics. Some computer tools already analyze trends and opinions. The University of Salamanca has developed a messages classifier that allows to know in real time the positive and negative evaluations of the users. It is a real time political tweets classifier that allows distinguishing between positive, neutral and negative feelings. We have developed it from the supervised feelings analysis technique, which uses machine learning algorithms, based AI",explains to DiCYT Carlos Arcila Calderón, researcher at the Department of Sociology and Communication.