Publications

2022
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.
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.
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
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. Final Career Project (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. Final Career Project (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. Final Career Project (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. Final Career Project (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. Final Career Project (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. Final Career Project (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. Final Career Project. 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. Final Career Project.
Design and Development of a Mental Illness Recognition System for Detecting Stress and Depression from Text

Nicolás López Cano. (2021). Design and Development of a Mental Illness Recognition System for Detecting Stress and Depression from Text. Final Career Project (TFM). Universidad Politécnica de Madrid, ETSI de Telecomunicación.
GSI-UPM at IberLEF2021: Emotion Analysis of Spanish Tweets by Fine-tuning the XLM-RoBERTa Language Model

Daniel Vera Nieto, Oscar Araque & Carlos A. Iglesias (2021). GSI-UPM at IberLEF2021: Emotion Analysis of Spanish Tweets by Fine-tuning the XLM-RoBERTa Language Model. In CEUR (editor), pages 16-26.
The Language of Liberty: A preliminary study

Oscar Araque, Lorenzo Gatti & Kyriaki Kalimeri (2021). The Language of Liberty: A preliminary study. In Companion Proceedings of the Web Con-ference 2021 (WWW ’21 Companion).

2020
MoralStrength: Exploiting a moral lexicon and embedding similarity for moral foundations prediction

Oscar Araque, Lorenzo Gatti & Kyriaki Kalimeri. (2020). MoralStrength: Exploiting a moral lexicon and embedding similarity for moral foundations prediction. Knowledge-Based Systems.

JCR 2019 Q1 5.921, SJR 2020 Q1 1.59, Scopus 2020 Q1 11.3
A Distributional Semantics Perspective of Lexical Resources for Affect Analysis: An application to Extremist Narratives

Oscar Araque. (2020). A Distributional Semantics Perspective of Lexical Resources for Affect Analysis: An application to Extremist Narratives. Phd Thesis. Universidad Politécnica de Madrid, ETSI Telecomunicación.
On the use of Jargon and Word Embeddings to Explore Subculture within the Reddit’s Manosphere

Tracie Farrell, Oscar Araque, Miriam Fernandez & Harith Alani (2020). On the use of Jargon and Word Embeddings to Explore Subculture within the Reddit’s Manosphere. In Proceedings of the WebSci '20: 12th ACM Conference on Web Science. Southamption, United KIngdom : ACM.
Application of Natural Language Processing techniques for biomedical document classification

Antonio Ochotorena Laynez. (2020). Application of Natural Language Processing techniques for biomedical document classification. Final Career Project (TFG). Universidad Politécnica de Madrid, ETSI Telecomunicación.
Development of a Mobile Mood Detector based on Machine Learning Techniques

Jorge García-Castaño. (2020). Development of a Mobile Mood Detector based on Machine Learning Techniques. Final Career Project (TFM). Universidad Politécnica de Madrid, ETSI Telecomunicación.

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