This work is carried out at a Peruvian university with multiple campuses, which currently has more than 72,000 students and 3,666 teachers. For this institution, having a considerable teaching staff and student body, it becomes a priority to have quantifiable information on students' perception of teachers' performance. To address this need, the analysis of student surveys is proposed, using sentiment analysis and classification of responses to an open-ended question, based on artificial intelligence. The objectives of this innovation proposal focus on optimizing the interpretation of teacher evaluation survey results using artificial intelligence. Specifically, it seeks to automate the analysis of open-ended survey questions using natural language processing and provide qualitative reference metrics with these results. Finally, using classification, it is proposed to train a model that ...

El objetivo general de esta tesis es contar con una herramienta que permita conocer el rendimiento de la Red Académica Peruana-RAAP y a partir de este conocimiento poder tomar decisiones de gestión. Esta red soporta protocolos avanzados, como IPv6, y está implementado con la arquitectura MPLS para ofrecer alta calidad de servicio a las aplicaciones de tiempo real.

El objetivo general de esta tesis es contar con una herramienta que permita conocer el rendimiento de la Red Académica Peruana-RAAP y a partir de este conocimiento poder tomar decisiones de gestión. Esta red soporta protocolos avanzados, como IPv6, y está implementado con la arquitectura MPLS para ofrecer alta calidad de servicio a las aplicaciones de tiempo real.