Publicaciones

2022
Sentiment Analysis meets Linguistic Linked Data: An overview of the State of the Art

Carlos A. Iglesias & J. Fernando Sánchez-Rada (2022). 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.
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
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
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.
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).
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.
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.
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. Trabajo Fin de Titulación (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. Tesis doctoral. 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. Trabajo Fin de Titulación (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. Trabajo Fin de Titulación (TFM). Universidad Politécnica de Madrid, ETSI Telecomunicación.
Design and development of a monitoring system for Spanish political tweets in COVID-19 emergency

Daniel Lledo Raigal. (2020). Design and development of a monitoring system for Spanish political tweets in COVID-19 emergency. Trabajo Fin de Titulación (TFG). Universidad Politécnica de Madrid, ETSI Telecomunicación.
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.

JCR 2019 Q2 2.474, SJR 2020 Q2 0.44, Scopus 2020 Q2 3.0
Sentiment Analysis for Social Media

Carlos A. Iglesias & Antonio Moreno (2020). Sentiment Analysis for Social Media. In Carlos A. Iglesias & Antonio Moreno (editors). MDPI.
CRANK: A Hybrid Model for User and Content Sentiment Classification Using Social Context and Community Detection

J. Fernando Sánchez-Rada & Carlos A. Iglesias. (2020). CRANK: A Hybrid Model for User and Content Sentiment Classification Using Social Context and Community Detection. Applied Science, 10 (5), 1662.

JCR 2019 Q2 2.474, SJR 2020 Q2 0.44, Scopus 2020 Q2 3.0

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