dc.contributor | Hurtado Ortiz, Remigio Ismael | |
dc.creator | Barrera Barrera, Juan Carlos | |
dc.creator | Barrera Barrera, Katherine Michelle | |
dc.date.accessioned | 2022-09-23T21:48:53Z | |
dc.date.available | 2022-09-23T21:48:53Z | |
dc.date.created | 2022-09-23T21:48:53Z | |
dc.date.issued | 2022-07 | |
dc.identifier | http://dspace.ups.edu.ec/handle/123456789/23420 | |
dc.description.abstract | The project is focused on solving the decision-making of bars or restaurants, through modules for users and administrators. A phased data analysis model is applied, with the implementation of a Transformer T5 neural network to generate the summary and representation of the comments that are collected from the restaurant's hybrid application and Facebook social network. | |
dc.language | spa | |
dc.rights | http://creativecommons.org/licenses/by-nc-nd/3.0/ec/ | |
dc.rights | openAccess | |
dc.rights | Atribución-NoComercial-SinDerivadas 3.0 Ecuador | |
dc.subject | COMPUTACIÓN | |
dc.subject | APRENDIZAJE AUTOMÁTICO (INTELIGENCIA ARTIFICIAL) | |
dc.subject | APLICACIONES MÓVILES | |
dc.subject | REDES SOCIALES EN LÍNEA | |
dc.subject | REDES NEURONALES (COMPUTADORES) | |
dc.subject | PROCESAMIENTO DE LENGUAJE NATURAL (COMPUTADORES) | |
dc.title | Desarrollo de una aplicación híbrida inteligente y un modelo de análisis de datos en fases para resumir y representar los comentarios de clientes sobre productos y servicios de bares y restaurantes mediante Django, IONIC, Angular, Deep Learning y redes sociales | |
dc.type | bachelorThesis | |