Daniel Suárez, Oscar Araque & Carlos A. Iglesias (2018). How well do Spaniards sleep? Analysis of Sleep Disorders based on Twitter mining. In Proceedings of SNAMS 2018, pages 11-18. Valencia, Spain : IEEE.
Paul Buitelaar, Ian D. Wood, Mihael Arcan, John P. McCrae, Andrejs Abele, Cécile Robin et al. (2018). MixedEmotions: An Open-Source Toolbox for Multi-Modal Emotion Analysis. IEEE Transactions on Multimedia, 20 (9), 2454-2465.
Carlos A. Iglesias & Viviana Patti. (2018). Editorial for the Special Issue on “Love & Hate in the Time of Social Media and Social Networks”. Information, 9 (8), 184.
Álvarez de Sotomayor Vergara, M. (2018). Design and Development of a Machine Learning Classifier of ISIS Terrorist Texts. Final Career Project (TFG). Universidad Politécnica de Madrid, ETSIT, Madrid.
Rodrigo Barbado. (2018). Design of a Prototype of a Big Data Analysis System of Online Radicalism based on Semantic and Deep Learning technologies. Final Career Project (TFM). Universidad Politécnica de Madrid, ETSIT, Madrid.
Daniel Suárez. (2018). Design and development of a system for sleep disorder characterization using Social Media Mining. Final Career Project (TFG). Universidad Politécnica de Madrid, ETSIT, Madrid.
Carlos Bermúdez Cruces. (2018). Design and development of a classification system of political messages in social networks using Natural Language Processing and Machine Learning techniques. Final Career Project (TFG). Universidad Politécnica de Madrid, ETSI Telecomunicación, Madrid.
José Miguel Valle Salas. (2018). Development of a YouTube videos feelings analiser. Final Career Project (TFG). Universidad Politécnica de Madrid, ETSI Telecomunicación, Madrid.
Ángel Silván. (2018). Design and Implementation of an embodied cognitive conversational agent for assisting in a web site based on the API.AI conversational platform.. Final Career Project (TFG). Universidad Politécnica de Madrid, ETSI Telecomunicación, Madrid.
Jaime Palos. (2018). Design and development of a System for Detecting Cyberbullying in Twitter based on Machine Learning Techniques. Final Career Project (TFG). Universidad Politécnica de Madrid, ETSI Telecomunicación, Madrid.
Diego San Cristobal. (2018). Design and Evaluation of a Conversational Agent Prototype based on Recurrent Neural Networks using Tensorflow.. Final Career Project (Master Thesis). Universidad Politécnica de Madrid, ETSI Telecomunicación, Madrid.
Ignacio Corcuera-Platas. (2018). Development of a Deep Learning Based Sentiment Analysis and Evaluation Service. Final Career Project (Master Thesis). Universidad Politécnica de Madrid, ETSI Telecomunicación, Madrid.
Oscar Araque, Lorenzo Gatti, Jacopo Staiano & Marco Guerini. (2018). DepecheMood++: a Bilingual Emotion Lexicon Built Through Simple Yet Powerful Techniques..
Oscar Araque, Marco Guerini, Carlo Strapparava & Carlos A. Iglesias (2017). Neural Domain Adaptation of Sentiment Lexicons. In Proceedings of ACII 2017. San Antonio, Texas, USA.
Alberto Marqués-Alba. (2017). Design and Development of an Age Classification System of Twitter Users Based on Machine Learning Techniques. Final Career Project (TFG). ETSI Telecomunicación, Universidad Politécnica de Madrid.
Jorge García-Castaño. (2017). Development of a monitoring dashboard for sentiment and emotion in geolocated social media. Final Career Project (TFG). ETSI Telecomunicación, Universidad Politécnica de Madrid.
Álvaro Gericke. (2017). Design and Implementation of a Social Marketplace for a Startup based on a Content Management System. Application of Sentiment Analysis for sensing customer feedback. Final Career Project (TFG). ETSI Telecomunicación, Universidad Politécnica de Madrid.
Pablo Aramburu García. (2017). Design and Development of a Sentiment Analysis System on Facebook from Political Domain. Final Career Project (TFG). ETSI Telecomunicación, Universidad Politécnica de Madrid.
Javier Ochoa. (2017). Design and Implementation of a Scraping system for Sport News. Final Career Project. ETSI Telecomunicación, Universidad Politécnica de Madrid.
J. Fernando Sánchez-Rada, Carlos A. Iglesias, Ignacio Corcuera-Platas & Oscar Araque (2016). Senpy: A Pragmatic Linked Sentiment Analysis Framework. In Proceedings DSAA 2016 Special Track on Emotion and Sentiment in Intelligent Systems and Big Social Data Analysis (SentISData), pages 735-742. Montreal, Canada : IEEE.
Carlos A. Iglesias, J. Fernando Sánchez-Rada, Gabriela Vulcu & Paul Buitelaar (2016). Linked Data Models for Sentiment and Emotion Analysis in Social Networks. In Federico Alberto Pozzi, Elisabetta Fersini, Enza Messina & Bing Liu (editors), Sentiment Analysis in Social Networks. Morgan Kauffman.