Detección de patrones y grupos de sentimientos a partir del análisis de tuits políticos

Rocío Abascal-Mena, Erick López-Ornelas, Sergio Zepeda-Hernández


Este artículo presenta un ejemplo de cómo pueden analizarse los tuits aplicando un léxico de opinión en dos distintos corpus conformados por tuits generados durante diferentes movimientos políticos y sociales en Francia. Ambos corpus corresponden a las mismas fechas con el propósito de llevar a cabo un análisis, durante el paso del tiempo, sobre las diferencias y similitudes entre los sentimientos. La investigación proporciona algunos elementos claves en los que se pueden apreciar períodos y grupos de sentimientos en una población en particular. El análisis efectuado a cada corpus es mostrado de manera gráfica de manera a poder visualizar patrones en el estado de ánimo de dos movimientos sociales diferentes. La metodología propuesta puede ser aplicada para la detección de importantes puntos de inflexión, incluso patrones de sentimientos, en mensajes enviados en manifestaciones sociales y políticas a través del
uso de las redes sociales.

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