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Publicaciones
- 2022
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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. -
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. Trabajo Fin de Titulación (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. Trabajo Fin de Titulación (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. Trabajo Fin de Titulación (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 -
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. Trabajo Fin de Titulación. -
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. Trabajo Fin de Titulación. -
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 -
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. -
GSITK: A sentiment analysis framework for agile replication and development
Oscar Araque, J. Fernando Sánchez-Rada & Carlos A. Iglesias. (2022). GSITK: A sentiment analysis framework for agile replication and development. SoftwareX, 6.JCR 2020 Q3 1.959, SJR 2020 Q2 0.53, Scopus 2020 Q2 2.8
- 2021
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Understanding Customers’ Transport Services with Topic Clustering and Sentiment Analysis
Alejandro Moreno García & Carlos A. Iglesias. (2021). Understanding Customers’ Transport Services with Topic Clustering and Sentiment Analysis. Applied Sciences, 11 (10169), 1-18.JCR Q2 2.838, Citescore 3.7 -
Sentiment Analysis meets Linguistic Linked Data: An overview of the State of the Art
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). -
Sentiment Analysis meets Linguistic Linked Data: An overview of the State of the Art
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. -
Analysis and Design of a Topic clustering system based on Genetic Algorithms for analyzing Customer Voice in Transport Services
Alejandro Moreno García. (2021). Analysis and Design of a Topic clustering system based on Genetic Algorithms for analyzing Customer Voice in Transport Services. Trabajo Fin de Titulación (TFG). Universidad Politécnica de Madrid, ETSI Telecomunicación. -
Design and Development of a Causal Inference Machine Learning System based on Textual Data
Daniel Vera Nieto. (2021). Design and Development of a Causal Inference Machine Learning System based on Textual Data. Trabajo Fin de Titulación (TFM). Universidad Politécnica de Madrid, ETSI Telecomunicación. -
Generation and Evaluation of Lexicons Focused on HateSpeech using Deep Neural Networks
David Algarra Medina. (2021). Generation and Evaluation of Lexicons Focused on HateSpeech using Deep Neural Networks. Trabajo Fin de Titulación (TFM). Universidad Politécnica de Madrid, ETSI Telecomunicación. -
Design and Development of a Platform to Track Sustainable Mobility Social Trends
Martín González Calvo. (2021). Design and Development of a Platform to Track Sustainable Mobility Social Trends. Trabajo Fin de Titulación (TFM). Universidad Politécnica de Madrid, ETSI Telecomunicación. -
Design and development of a system for feelings characterization in parks using Social Media Mining
de Vega Fernández, D. (2021). Design and development of a system for feelings characterization in parks using Social Media Mining. Trabajo Fin de Titulación (TFG). Universidad Politécnica de Madrid, ETSI Telecomunicación. -
Design and Implementation of a ChatOps Environment using the Framework Rasa
Ignacio Cervantes. (2021). Design and Implementation of a ChatOps Environment using the Framework Rasa. Trabajo Fin de Titulación (TFM). Universidad Politécnica de Madrid, ETSI Telecomunicación. -
Design and Development of a Classification and Detection System of Malicious Emails with NLP
Guillermo Canete Riaza. (2021). Design and Development of a Classification and Detection System of Malicious Emails with NLP. Trabajo Fin de Titulación. Universidad Politécnica de Madrid. -
Design and Development of a Machine Learning System for Opinion and Natural Language Analysis in Social Media. Application to the Ride-Hailing and Radicalization Domains
de Pablo Marsal, Á. (2021). Design and Development of a Machine Learning System for Opinion and Natural Language Analysis in Social Media. Application to the Ride-Hailing and Radicalization Domains. Trabajo Fin de Titulación.