News

The article "An Emotion-Aware Learning Analytics System Based on Semantic Task Automation" by Sergio Muñoz, Enrique Sánchez and Carlos A. Iglesias has been published in Electronics, indexed by JCR Q2.

Abstract. E-learning has become a critical factor in the academic environment due to the endless number of possibilities that it opens for the learning context. However, these platforms often suppose to increase the difficulties for the communication between teachers and students. Without having real contact between teachers and students, the former finds it harder to adapt their methods and content to their students, while the students also find complications for maintaining their focus. This paper aims to address this challenge with the use of emotion and engagement recognition techniques. We propose an emotion-aware e-learning platform architecture that recognizes students’ emotions and attention in order to improve their academic performance. The system integrates a semantic task automation system that allows users to easily create and configure their own automation rules to adapt the study environment. The main contributions of this paper are: (1) the design of an emotion-aware learning analytics architecture; (2) the integration of this architecture in a semantic task automation platform; and (3) the validation of the use of emotion recognition in the e-learning platform using partial least squares structural equation modeling (PLS-SEM) methodology.

The article is available at: https://www.mdpi.com/2079-9292/9/8/1194

Uno de los pilares de la Economía Compartida es la confianza en los usuarios. En este artículo  se investiga si podemos determinar usuarios poco fiables en el web de venta de artículos usados Wallapop basándonos en cómo escriben en Twitter.

 

Predicting Reputation in the Sharing Economy with Twitter Social Data, Toni Prada & Carlos A. Iglesias. (2020). Predicting Reputation in the Sharing Economy with Twitter Social Data. Applied Sciences, 10 (2881), 1-18.

Disponible en https://www.mdpi.com/2076-3417/10/8/2881.

Hola,

El próximo lunes a las 11:00 en el Salón de grados, tendrá lugar la lectura y defensa de la tesis de J. Fernando Sánchez Rada, estáis todos invitados.

La tesis doctoral, dirigida por Carlos A. Iglesias, se titula "Sentiment and Emotion Analysis in Social Networks: modeling and linking data, affects and people".

Lugar: Salón de grados (Edificio A - SG A-128.1) de la ETSIT-UPM.

Fecha: 11 de febrero de 2020, 11:00

The journal paper An Approach for Radicalization Detection based on Emotion Signals and Semantic Similarity by Oscar Araque and Carlos Angel Iglesias has been published at IEEE Access (4.098 impact factor, Q1 JCR-2018).

The paper is available at the following URL: https://ieeexplore.ieee.org/document/8962050

DOI: https://doi.org/10.1109/ACCESS.2020.2967219

 

Abstract:

The Internet has become an important tool for modern terrorist groups as a means of spreading their propaganda messages and recruitment purposes. Previous studies have shown that the analysis of social signs can help in the analysis, detection, and prediction of radical users. In this work, we focus on the analysis of affect signs in social media and social networks, which has not been yet previously addressed. The article contributions are: (i) a novel dataset to be used in radicalization detection works, (ii) a method for utilizing an emotion lexicon for radicalization detection, and (iii) an application to the radical detection domain of an embedding-based semantic similarity model. Results show that emotion can be a reliable indicator of radicalization, as well as that the proposed feature extraction methods can yield high-performance scores.

Este jueves 22  leen su TFG en el aula B-22 varios miembros del GSI, estáis todos invitados:

  • 09:00  Nicolás López Cano. Design and Development of a Digital Signage System based on the Content Management System Joomla. 
  • 09:25 Andrés Montero Ranc. Development of a trusted gamification platform for employee incentivization based on Blockchain and ReactJS. 
  • 09:50 Daniel Vera Nieto. Design and development of a machine learning system for fast food prevalence characterization using Social Media Mining
  • 10:15 Sergio López. Design and Development of a machine learning system for Personality Classification based on stylometric features.
  • 11:05 Pablo García Benedicto. Development of an Augmented Reality Application for Interacting with Smart Objects in a Smart Office using the technology Android ARCore.
  • 11:30 Juan José Herrero Bermejo. Design and development of a mobile application for activity monitoring in an intelligent environment.