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J. Fernando Sánchez-Rada
Posición
Profesor Ayudante
Descripción
Currently pursuing a PhD on sentiment and emotion analysis on social media.
Líneas de investigación
Información Personal
Email
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Teléfono
Localización
B-205
Publicaciones Ver más
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Social context in sentiment analysis: Formal definition, overview of current trends and framework for comparison
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. -
A Big Linked Data Toolkit for Social Media Analysis and Visualization based on W3C Web Components
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. -
MixedEmotions: An Open-Source Toolbox for Multi-Modal Emotion Analysis
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. -
A Model of Radicalization Growth using Agent-based Social Simulation
Tasio Méndez, J. Fernando Sánchez-Rada, Carlos A. Iglesias & Paul Cummings (2018). A Model of Radicalization Growth using Agent-based Social Simulation. In Proceedings of EMAS 2018. Stockholm, Sweden. -
An Emotion Aware Task Automation Architecture Based on Semantic Technologies for Smart Offices
Sergio Muñoz López, Oscar Araque, J. Fernando Sánchez-Rada & Carlos A. Iglesias. (2018). An Emotion Aware Task Automation Architecture Based on Semantic Technologies for Smart Offices. Sensors, 18 (5), 1499. -
Teaching Big Data With Pen, Paper and Scissors
J. Fernando Sánchez-Rada, Oscar Araque, Álvaro Carrera Barroso & Carlos A. Iglesias. (2018). Teaching Big Data With Pen, Paper and Scissors. Revista Internacional de Tecnologías en la Educación, 5 (2), 63-68. -
Multimodal Multimodel Emotion Analysis as Linked Data
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. -
Modeling Social Influence in Social Networks with SOIL, a Python Agent-Based Social Simulator
Eduardo Merino, Jesús M. Sánchez, David García Martín, J. Fernando Sánchez-Rada & Carlos A. Iglesias (2017). Modeling Social Influence in Social Networks with SOIL, a Python Agent-Based Social Simulator, chapter Advances i, pages 337-341. Springer-Verlag. -
Soil: An Agent-Based Social Simulator in Python for Modelling and Simulation of Social Networks
Jesús M. Sánchez, Carlos A. Iglesias & J. Fernando Sánchez-Rada (2017). Soil: An Agent-Based Social Simulator in Python for Modelling and Simulation of Social Networks, chapter Advances i, pages 234-245. Springer Verlag. -
Enhancing Deep Learning Sentiment Analysis with Ensemble Techniques in Social Applications
Oscar Araque, Ignacio Corcuera-Platas, J. Fernando Sánchez-Rada & Carlos A. Iglesias. (2017). Enhancing Deep Learning Sentiment Analysis with Ensemble Techniques in Social Applications. Expert Systems with Applications. -
A modular architecture for intelligent agents in the evented web
J. Fernando Sánchez-Rada, Carlos A. Iglesias & Miguel Coronado. (2017). A modular architecture for intelligent agents in the evented web. Web Intelligence, 15 (1), 19-33. -
Applying Recurrent Neural Networks to Sentiment Analysis of Spanish Tweets
Oscar Araque, Rodrigo Barbado, J. Fernando Sánchez-Rada & Carlos A. Iglesias (2017). Applying Recurrent Neural Networks to Sentiment Analysis of Spanish Tweets. In Ceur WS (editor). -
Senpy: A Pragmatic Linked Sentiment Analysis Framework
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. -
Linked Data Models for Sentiment and Emotion Analysis in Social Networks
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. -
Towards a Common Linked Data Model for Sentiment and Emotion Analysis
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. -
European Project Space on Intelligent Technologies, Software Engineering, Computer Vision, Graphics, Optics and Photonic
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. -
Onyx: A Linked Data Approach to Emotion Representation
J. Fernando Sánchez-Rada & Carlos A. Iglesias. (2016). Onyx: A Linked Data Approach to Emotion Representation. Information Processing & Management, 52, 99-114. -
European Project Space on Intelligent Technologies, Software engineering, Computer Vision, Graphics, Optics and Photonics
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 Photonics. Rome : ScitexPress. -
Aspect based Sentiment Analysis of Spanish Tweets
Oscar Araque, Ignacio Corcuera-Platas, Constantino Román-Gómez, Carlos A. Iglesias & J. Fernando Sánchez-Rada (2015). Aspect based Sentiment Analysis of Spanish Tweets. In Proceedings of TASS 2015: Workshop on Sentiment Analysis at SEPLN co-located with 31st SEPLN Conference (SEPLN 2015), pages 29-34. Alicante, Spain. -
A Linked Data Model for Multimodal Sentiment and Emotion Analysis
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. -
MAIA: An Event-based Modular Architecture for Intelligent Agents
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. -
Generating Linked-Data based Domain-Specific Sentiment Lexicons from Legacy Language and Semantic Resources
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. -
A Linked Data Approach to Sentiment and Emotion Analysis of Twitter in the Financial Domain
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. -
EuroLoveMap: Confronting feelings from News
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). -
EUROSENTIMENT: Linked Data Sentiment Analysis
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. -
Onyx: Describing Emotions on the Web of Data
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. -
Linguistic Linked Data for Sentiment Analysis
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. -
Design and Implementation of an Agent Architecture Based on Web Hooks
J. Fernando Sánchez-Rada. (2012). Design and Implementation of an Agent Architecture Based on Web Hooks. Trabajo de fin de carrera. ETSI Telecomunicación, Universidad Politécnica de Madrid.
Proyectos Ver más
Líneas de investigación: Agentes y Simulación Social
Fecha de comienzo: 2019-01-08
Fecha de finalización: 2019-12-31
Líneas de investigación: Big Data y Aprendizaje Automático
Fecha de comienzo: 2018-09-01
Fecha de finalización: 2019-02-28
Líneas de investigación: Big Data y Aprendizaje Automático
Fecha de comienzo: 2018-02-01
Fecha de finalización: 2018-11-15
Líneas de investigación: Big Data y Aprendizaje Automático
Fecha de comienzo: 2017-01-17
Fecha de finalización: 2019-01-17
Líneas de investigación: Agentes y Simulación Social, NLP y Análisis de Sentimientos
Fecha de comienzo: 2016-09-01
Fecha de finalización: 2019-12-31
Líneas de investigación: Agentes y Simulación Social
Fecha de comienzo: 2016-05-12
Fecha de finalización: 2018-12-31
Líneas de investigación: NLP y Análisis de Sentimientos
Fecha de comienzo: 2015-04-01
Fecha de finalización: 2017-04-30
Líneas de investigación: NLP y Análisis de Sentimientos, La Web de Datos y Tecnologías Semánticas
Fecha de comienzo: 2012-09-03
Fecha de finalización: 2014-09-03
Líneas de investigación: La Web de Datos y Tecnologías Semánticas
Fecha de comienzo: 2012-04-01
Fecha de finalización: 2012-12-31
Líneas de investigación: La Web de Datos y Tecnologías Semánticas
Fecha de comienzo: 2011-09-01
Fecha de finalización: 2013-12-31
Líneas de investigación: Agentes y Simulación Social
Fecha de comienzo: 2010-09-01
Fecha de finalización: 2012-12-31