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).
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.
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.
J. Fernando Sánchez-Rada. (2020). Sentiment and Emotion Analysis in Social Networks: modeling and linking data, affects and people. Phd Thesis. Universidad Politécnica de Madrid.
J. Fernando Sánchez-Rada & Carlos A. Iglesias. (2019). Social context in sentiment analysis: Formal definition, overview of current trends and framework for comparison. Information Fusion, 52, 344-356.
Tasio Méndez, J. Fernando Sánchez-Rada, Carlos A. Iglesias & Paul Cummings (2019). Analyzing Radicalism Spread Using Agent-Based Social Simulation. In Danny Weyns, Viviana Mascardi & Alessandro Ricci (editors), Engineering Multi-Agent Systems 6th International Workshop, EMAS 2018 Stockholm, Sweden, July 14–15, 2018 Revised Selected Papers. Springer Verlag.
J. Fernando Sánchez-Rada, Alberto Pascual-Saavedra, Enrique Conde-Sánchez & Carlos A. Iglesias (2018). A Big Linked Data Toolkit for Social Media Analysis and Visualization based on W3C Web Components. In Hervé Panetto, Christophe Debruyne, Henderik A. Proper, Claudio A. Ardagna, Dumitru Roman & Robert Meersman (editors), On the Move to Meaningful Internet Systems. OTM 2018 Conferences. Part II, pages 498-515. Valletta, Malta : Springer-Verlag.
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.
J. Fernando Sánchez-Rada, Carlos A. Iglesias, Hesam Sagha, Björn Schuller, Ian Wood & Paul Buitelaar (2017). Multimodal Multimodel Emotion Analysis as Linked Data. In Proceedings of ACII 2017. San Antonio, Texas, USA.
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.
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.
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.
J. Fernando Sánchez-Rada, Carlos A. Iglesias & Miguel Coronado (2014). MAIA: An Event-based Modular Architecture for Intelligent Agents. In Proceedings of 2014 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, pages 87-94. Warsaw, Poland : IEEE Computer Society Press.
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).
J. Fernando Sánchez-Rada, Gabriela Vulcu, Carlos A. Iglesias & Paul Buitelaar (2014). EUROSENTIMENT: Linked Data Sentiment Analysis. In Matthew Horridge, Marco Rospocher & van Ossenbruggen, J. (editors), Proceedings of the ISWC 2014 Posters & Demonstrations Track a track within the 13th International Semantic Web Conference (ISWC 2014), pages 145-148. Riva del Garda, Trentino.
J. Fernando Sánchez-Rada & Carlos A. Iglesias (2013). Onyx: Describing Emotions on the Web of Data. In Proceedings of the First International Workshop on Emotion and Sentiment in Social and Expressive Media: approaches and perspectives from AI (ESSEM 2013), pages 71-82. Torino, Italy : CEUR-WS.
Paul Buitelaar, Mihael Arcan, Carlos A. Iglesias, J. Fernando Sánchez-Rada & Carlo Strapparava (2013). Linguistic Linked Data for Sentiment Analysis. In Christian Chiarcos, Philipp Cimiano, Thierry Declerck & John P. McCrae (editors), 2nd Workshop on Linked Data in Linguistics (LDL-2013): Representing and linking lexicons, terminologies and other language data. Collocated with the Conference on Generative Approaches to the Lexicon, pages 1-8. Pisa, Italy : Association for Computational Linguistics.
J. Fernando Sánchez-Rada. (2012). Design and Implementation of an Agent Architecture Based on Web Hooks. Final Career Project. ETSI Telecomunicación, Universidad Politécnica de Madrid.