Generación de Texto Guía para la Detección Automatizada del Acoso y el Ciberacoso

Marcos Orellana
Jorge Luis Zambrano-Martinez
Ronny Marcelo Calle Andrade
Amanda Roldan
Andrés Nicolas Tirado Jarama
Resumen

En la actualidad, el acoso entre los niños es un grave problema social e incluso actúa como uno de los principales problemas de la salud mental. Por lo tanto, se han detectado varios tipos de acoso, entre ellos están el acoso físico, verbal, social y el cibernético que utiliza la tecnología al alcance del agresor para difundir el daño y hacer que la víctima esté constantemente acosada. La inteligencia artificial y el acoso son temas ampliamente estudiados e investigados, pero regularmente no son utilizados de manera conjunta para llegar a mitigar la problemática del acoso. Con esto en mente, el propósito de esta investigación es identificar las palabras claves que son extraídas de diferentes medios audiovisuales cuyo tema principal es el acoso y el ciberacoso para crear campos semánticos correspondientes al texto extraído del video y generar un texto guía para la detección automatizada del acoso y el ciberacoso como apoyo a los profesionales.

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Cómo citar
Generación de Texto Guía para la Detección Automatizada del Acoso y el Ciberacoso. (2023). Revista Tecnológica - ESPOL, 35(2), 181-191. https://doi.org/10.37815/rte.v35n2.1049
Biografía del autor/a

Jorge Luis Zambrano-Martinez, Universidad del Azuay

Jorge Luis Zambrano-Martinez is a Ph.D. in Computer Science received in Department of Networking Research Group (GRC) at the Universitat Politècnica de València (UPV) from Spain in 2019, included an awarded international doctoral and an awarded Cum Laude. He graduated in Master's Degree in Information and Communication Technology Security at Universitat Oberta de Catalunya in 2018. He graduated in Master’s Degree in Computer Engineering at Universitat Politècnica de València (UPV) in 2015. He graduated in Systems Engineering at Polytechnic University Salesian (Ecuador) in 2011. His research interests include Vehicular Networks, Smart Cities & IoT, Network Security, ITS, and Computer Vision.

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