Zerrendatu honen arabera: gaia "online social networks"
3-tik 1-3 emaitza erakusten
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A Mood Analysis on Youtube Comments and a Method for Improved Social Spam Detection
(Springer, 2018)In the same manner that Online Social Networks (OSN) usage increases, non-legitimate campaigns over these types of web services are growing. This is the reason why signi cant number of users are affected by social spam ... -
Nuevos Paradigmas de Análisis Basados en Contenidos para la Detección del Spam en RRSS
(Sociedad Española para el Procesamiento del Lenguaje Natural, 2018)Tesis doctoral realizada por Enaitz Ezpeleta Gallastegi en Mondragon Unibertsitatea, dentro del grupo de Sistemas Inteligentes para Sistemas Industriales, dirigida por los Doctores Urko Zurutuza Ortega (Mondragon Unibertsitatea) ... -
A study of the personalization of spam content using Facebook public information
(Oxford University Press, 2017)Millions of users per day are affected by unsolicited email campaigns. Spam filters are capable of detecting and avoiding an increasing number of messages, but researchers have quantified a response rate of a 0.006% [1], ...