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.
Manuel García-Amado. (2016). Development of an Aspect-based Sentiment Analyzer for the Social Web and Application to Product Reviews. Final Career Project. ETSI Telecomunicación, Universidad Politécnica de Madrid.
Oscar Araque. (2016). Prototype of a Sentiment Analysis System Based on Ensemble Algorithms for Combining Deep and Surface Machine Learning Techniques. Final Career Project. ETSI Telecomunicación, Universidad Politécnica de Madrid.
J. Fernando Sánchez-Rada, Björn Schuller, Viviana Patti, Paul Buitelaar, Gabriela Vulcu, Felix Bulkhardt et al (2016). Towards a Common Linked Data Model for Sentiment and Emotion Analysis. In J. Fernando Sánchez-Rada & Björn Schuller (editors), Proceedings of the LREC 2016 Workshop Emotion and Sentiment Analysis (ESA 2016), pages 48-54.
Carlos A. Iglesias, J. Fernando Sánchez-Rada, Paul Buitelaar & Francesco Danza (2016). European Project Space on Intelligent Technologies, Software Engineering, Computer Vision, Graphics, Optics and Photonic, chapter Mixed Emot, pages 116-123. ScitePress.
José Emilio Carmona. (2016). Development of a Social Media Crawler for Sentiment Analysis. Final Career Project. ETSI Telecomunicación, Universidad Politécnica de Madrid.
Lorena Sancho-Mayoral. (2016). Development of a Web Conversational Agent for a Smart Home scenario based on the task model ANSI/CEA-2018. Final Career Project. ETSI Telecomunicación, Universidad Politécnica de Madrid.
J. Fernando Sánchez-Rada, Carlos A. Iglesias & Ronald Gil (2015). A Linked Data Model for Multimodal Sentiment and Emotion Analysis. In, pages 11-19. Beijing, China : Association for Computational Linguistics and Asian Federation of Natural Language Processing.
Constantino Román-Gómez. (2015). Development of a Named Entity Recognition System based on Ensemble Machine Learning Algorithms. Final Career Project (TFG). ETSI Telecomunicación, Universidad Politécnica de Madrid.
Ignacio Corcuera-Platas. (2015). Development of an Emotion Analysis System in a University community. Final Career Project (TFG). ETSI Telecomunicación, Universidad Politécnica de Madrid.
Gabriela Vulcu, Paul Buitelaar, Sapna Negi, Bianca Pereira, Mihael Arcan, Barry Coughlan et al (2014). Generating Linked-Data based Domain-Specific Sentiment Lexicons from Legacy Language and Semantic Resources. In th International Workshop on Emotion, Social Signals, Sentiment & Linked Open Data, co-located with LREC 2014,, pages 6-9. Reykjavik, Iceland.
J. Fernando Sánchez-Rada, Marcos Torres, Carlos A. Iglesias, Roberto Maestre & Raquel Peinado (2014). A Linked Data Approach to Sentiment and Emotion Analysis of Twitter in the Financial Domain. In Second International Workshop on Finance and Economics on the Semantic Web (FEOSW 2014), pages 51-62.
Jordi Atserias, van Erp, M., Isa Maks, Germán Rigau & J. Fernando Sánchez-Rada (2014). EuroLoveMap: Confronting feelings from News. In Proceedings of Come Hack with OpeNER!” workshop at the 9th Language Resources and Evaluation Conference (LREC’14), pages 5. Reykjavik, Iceland : European Language Resources Association (ELRA).
Gabriela Vulcu, Raul Lario Monje, Mario Muñoz, Paul Buitelaar & Carlos A. Iglesias (2014). Linked-Data based Domain-Specific Sentiment Lexicons. In Linguistic Linked Data Challenge, co-located with LREC 2014,. Reykjavik, Iceland.
Winners of the Challenge LREC. Conference A2 (Qualis)