Barbara Guidi, Carlos A. Iglesias, Giulio Rossetti & Kevin Koidi. (2023). Advanced Analysis Technologies for Social Media. Applied Sciences, 13 (3), 1909.
Alejandro Jesús Vargas Pérez. (2022). Design and development of an OSLC adapter for Google Cloud Services. Final Career Project (TFM). Universidad Politécnica de Madrid, ETSI Telecomunicación.
del Pozo Díaz, M. (2022). Design and Development of a Browser Plugin for Intelligent Text Analytics. Final Career Project (TFG). Universidad Politécnica de Madrid, ETSI Telecomunicación.
Víctor Álvarez Provencio. (2022). Design and implementation of a monitoring framework for a DevOps life-cycle based on semantic techniques and the OSLC standard. Final Career Project (TFM). Universidad Politécnica de Madrid, ETSI Telecomunicación.
Gabriel Funes Gabaldón. (2022). Development of an agent-based model for simulating the influence of jihadist terrorist attacks on the 2004 Spanish general election. Final Career Project (TFG). Universidad Politécnica de Madrid, ETSI Telecomunicación.
Álvaro Díaz Del Mazo. (2022). Development of a Technological Surveillance Tool agains the Spread of Terrorist ideologies, based on Natural Language Processing and Machine Learning. Final Career Project (TFM). Universidad Politécnica de Madrid, ETSI Telecomunicación.
Ramón Hernández García. (2022). Development of an on-device deep learning textual analytics application using the Android Platform. Final Career Project (TFG). Universidad Politécnica de Madrid, ETSI Telecomunicación.
Oscar Araque & Carlos A. Iglesias. (2022). An Ensemble Method for Radicalization and Hate Speech Detection Online Empowered by Sentic Computing. Cognitive Computation, 14, 48-61.
Pablo Real Baeza. (2022). Design and Development of a Machine Learning System for the Detection of Propaganda in Radical Texts using Transformers. Final Career Project.
Inés El Khloufi Larrán. (2022). Design and Development of a Conversational-driven System for Unmasking health Fake News using Data Mining Techniques. Final Career Project.
Sergio Muñoz López, Carlos A. Iglesias, Oscar Mayora & Venet Osmani. (2022). Prediction of stress levels in the workplace using surrounding stress. Information Processing & Management, 59 (6), 103064.
Marco A. Stranisci, Simona Frenda, Mirko Lai, Oscar Araque, Alessandra T. Cignarella, Valerio Basile et al (2022). O-Dang! The Ontology of Dangerous Speech Messages. In Proceedings of the SALLD-2 Workshop @LREC2020.
Sergio Muñoz López & Carlos A. Iglesias. (2022). A text classification approach to detect psychological stress combining a lexicon-based feature framework with distributional representations. Information Processing & Management, 59 (5), 103011.
Sergio Muñoz López, Carlos A. Iglesias, Andrei Scheianu & George Suciu. (2022). Semantic Modeling of a VLC-Enabled Task Automation Platform for Smart Offices. Electronics, 11 (3), 326.
de Pablo Marsal, Á., Oscar Araque & Carlos A. Iglesias. (2022). Transfer Learning with Social Media Content in the Ride-Hailing Domain by Using a Hybrid Machine Learning Architecture. Electronics, 11 (2), 23.
Javier Antón Yuste. (2022). Development of a Machine Learning System for Detection and Analysis of Eating Disorder in Social Media. Final Career Project. Universidad Politécnica de Madrid.
Oscar Araque, Lorenzo Gatti & Kyriaki Kalimeri (2022). LibertyMFD: A Lexicon to Assess the Moral Foundation of Liberty. In GoodIT '22: Proceedings of the 2022 ACM Conference on Information Technology for Social Good, pages 154-160. ACM.
Roberto Martín Luengo. (2022). Design and implementation of an agent-based social simulation system for analyzing the influence of personality on stress management. Final Career Project. Universidad Politécnica de Madrid.
Alejandro Moreno García & Carlos A. Iglesias. (2021). Understanding Customers’ Transport Services with Topic Clustering and Sentiment Analysis. Applied Sciences, 11 (10169), 1-18.
Carlos A. Iglesias & J. Fernando Sánchez-Rada (2021). Sentiment Analysis meets Linguistic Linked Data: An overview of the State of the Art. In Proceedings of the 1st Workshop on Sentiment Analysis & Linguistic Linked Data. Zaragoza, Spain : OASics (OpenAccess Series in Informatics).
Carlos A. Iglesias & J. Fernando Sánchez-Rada (2021). Sentiment Analysis meets Linguistic Linked Data: An overview of the State of the Art. In Sara Carvalho & Renato Rocha Souza (editors), Proceedings of the Workshops and Tutorials - Language Data and Knowledge 2021 co-located with the Language, Data and Knowledge Conference (LDK 2021), pages 1-14. CEUR.