Construcción de un corpus marcado con emociones para el análisis de sentimientos en Twitter en español

Grigori Sidorov, Sofía Natalia Galicia Haro, Vanessa Alejandra Camacho Vázquez

Resumen


El análisis de sentimientos (AS) trata de manera computacional opiniones, sentimientos y subjetividad en textos, así como crece exponencialmente en redes sociales y sobre varios problemas. Presentamos el desarrollo de un corpus emocional basado en tweets para el español analizado a mano con la finalidad de crear automáticamente recursos de mayor tamaño y calidad. Se muestra que Twitter se usa tanto para expresar emociones positivas que negativas, al menos en español. También nuestra investigación explora los estudios más relevantes del área en Twitter para brindar un panorama a investigaciones futuras exponiendo carencias y posibles direcciones.

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