| Título |
Author profiling from images using 3D convolutional neural networks |
| Tipo |
Congreso |
| Sub-tipo |
Memoria |
| Descripción |
2019 Iberian Languages Evaluation Forum, IberLEF 2019 |
| Resumen |
With this work we participate in the competition on the author profiling task on the MEX-A3T track at IberEval 2019. Author profiling task aims to identify gender, occupation and location from images or text of Mexican Twitter users. We propose a 3D Convolutional Neural Network for solving this task, using visual information, in this case images extracted from the user’s profile which are grouped to create a unique input of each user. |
| Observaciones |
CEUR Workshop Proceedings |
| Lugar |
Bilbao |
| País |
España |
| No. de páginas |
508-514 |
| Vol. / Cap. |
v. 2421 |
| Inicio |
2019-09-24 |
| Fin |
|
| ISBN/ISSN |
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