Publications

2023
Design and development of a visualization tool for analyzing Jihadist sources using the visual analytics platform Tableau

Nicolás López Cano. (2023). Design and development of a visualization tool for analyzing Jihadist sources using the visual analytics platform Tableau. Final Career Project (TFM). Universidad Politécnica de Madrid, ETSI Telecomunicación.
Development of an Inmersive Emotion-aware system

José Ignacio Mora Pérez. (2023). Development of an Inmersive Emotion-aware system. Final Career Project (TFM). Universidad Politécnica de Madrid, ETSI Telecomunicación.
A Toxic Style Transfer Method Based on the Delete–Retrieve–Generate Framework Exploiting Toxic Lexicon Semantic Similarity

Martín Iglesias Goyanes, Oscar Araque & Carlos A. Iglesias. (2023). A Toxic Style Transfer Method Based on the Delete–Retrieve–Generate Framework Exploiting Toxic Lexicon Semantic Similarity. Applied Sciences, 13 (8590), app13158590.

JCR 2022 2,7 (Q2)
Development of a COVID-19 Misinformation Detection System using Machine Learning and Natural Language Processing Techniques

Óscar Parro Sainz. (2023). Development of a COVID-19 Misinformation Detection System using Machine Learning and Natural Language Processing Techniques. Final Career Project (TFG). Universidad Politécnica de Madrid, ETSI Telecomunicación.
Study and Detection of Anti-Vaccine Language on Social Media using Natural Language Processing Techniques

Mª Felipa Ledesma Corniel. (2023). Study and Detection of Anti-Vaccine Language on Social Media using Natural Language Processing Techniques. Final Career Project (TFG). Universidad Politécnica de Madrid, ETSI Telecomunicación.
Development and evaluation of a Natural Language Processing system for radical propaganda detection using the Moral Foundations Theory and Affect Analysis

Alonso del Real, P. (2023). Development and evaluation of a Natural Language Processing system for radical propaganda detection using the Moral Foundations Theory and Affect Analysis. Final Career Project (TFG). Universidad Politécnica de Madrid, ETSI Telecomunicación.
Development and Evaluation of a Mental Health Detection System on Social Media Posts using Natural Language Processing and Machine Learning Techniques

Andrea Laguna Liang. (2023). Development and Evaluation of a Mental Health Detection System on Social Media Posts using Natural Language Processing and Machine Learning Techniques. Final Career Project (TFG). Universidad Politécnica de Madrid, ETSI Telecomunicación.
Improving Mental and Emotional Wellbeing based on Intelligent Techniques. Application to the case of Smart Offices

Sergio Muñoz López. (2023). Improving Mental and Emotional Wellbeing based on Intelligent Techniques. Application to the case of Smart Offices. Phd Thesis. Universidad Politécnica de Madrid, ETSI Telecomunicación.
Advanced Analysis Technologies for Social Media

Barbara Guidi, Carlos A. Iglesias, Giulio Rossetti & Kevin Koidi. (2023). Advanced Analysis Technologies for Social Media. Applied Sciences, 13 (3), 1909.

JCR 2021 2.838 (Q2), SJR 2021 0.507 (Q2)

2022
Making Sense of Language Signals for Monitoring Radicalization

Oscar Araque, J. Fernando Sánchez-Rada, Álvaro Carrera Barroso, Carlos A. Iglesias, Jorge Tardío Rubio, Guillermo García Grao et al. (2022). Making Sense of Language Signals for Monitoring Radicalization. Applied Sciences, 12 (8143), 1-27.

JCR Q2 2.838 (2021)
Green Areas: The Secret of the Happiness of the People of Madrid

de Vega Fernández, D., Oscar Araque & Carlos A. Iglesias. (2022). Green Areas: The Secret of the Happiness of the People of Madrid. Telecom, 3, 514-525.

CiteScore 3.1 Q2 (2022)
Design and Development of a Browser Plugin for Intelligent Text Analytics

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.
Development of a Technological Surveillance Tool agains the Spread of Terrorist ideologies, based on Natural Language Processing and Machine Learning

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.
Development of an on-device deep learning textual analytics application using the Android Platform

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.
An Ensemble Method for Radicalization and Hate Speech Detection Online Empowered by Sentic Computing

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.

JCR 2019 Q1 4.307, SJR 2020 Q1 0.83, Scopus 2020 Q1 8.6
Development of a System for Analysis of the Effect of Vocabularies on the Effectiveness of Radical Text Detection

Dhiraj Tejwani Jethani. (2022). Development of a System for Analysis of the Effect of Vocabularies on the Effectiveness of Radical Text Detection. Final Career Project. Grupo de Sistemas Inteligentes, Universidad Politécnica de Madrid.
Design and Development of a Machine Learning System for the Detection of Propaganda in Radical Texts using Transformers

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.
Design and Development of a Conversational-driven System for Unmasking health Fake News using Data Mining Techniques

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.
Prediction of stress levels in the workplace using surrounding stress

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.

JCR 2021 Q1 7.466, SJR 2021 Q1 1.854, Scopus 2021 Q1 11.0
O-Dang! The Ontology of Dangerous Speech Messages

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.
A text classification approach to detect psychological stress combining a lexicon-based feature framework with distributional representations

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.

JCR 2021 Q1 7.466, SJR 2021 Q1 1.854, Scopus 2021 Q1 11.0
Transfer Learning with Social Media Content in the Ride-Hailing Domain by Using a Hybrid Machine Learning Architecture

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.

JCR 2020 Q3 2.397, SJR 2020 Q2 0.36, Scopus 2020 Q2 2.7
Development of a Machine Learning System for Detection and Analysis of Eating Disorder in Social Media ( Copy)

Javier Antón Yuste. (2022). Development of a Machine Learning System for Detection and Analysis of Eating Disorder in Social Media ( Copy). Final Career Project. Universidad Politécnica de Madrid.
Development of a Machine Learning System for Predicting Stress at the Workplace

Pablo Sainz San Juan. (2022). Development of a Machine Learning System for Predicting Stress at the Workplace. Final Career Project. Universidad Politécnica de Madrid.
LibertyMFD: A Lexicon to Assess the Moral Foundation of Liberty

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.

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