J. Fernando Sánchez Rada

Publicaciones

Página personal

http://sanchezrada.es

Perfiles de Investigación

Google Scholar

ORCID

Posición

Profesor Contratado Doctor

Descripción

Research on sentiment and emotion analysis on social media.

Líneas de investigación

Agentes y Simulación Social Big Data y Aprendizaje Automático NLP y Análisis de Sentimientos

Información Personal

Email jf.sanchez(@)upm.es

Teléfono

Localización B-205

Publicaciones Ver más

Predicting the Aggregate Mobility of a Vehicle Fleet within a City Graph

J. Fernando Sánchez Rada, Raquel Vila Rodríguez, Jesús Montes & Pedro Zufiria. (2024). Predicting the Aggregate Mobility of a Vehicle Fleet within a City Graph. Algorithms, 17 (4).
SLIWC, Morality, NarrOnt and Senpy Annotations: four vocabularies to fight radicalization

J. Fernando Sánchez Rada, Guillermo García Grao, Oscar Araque & Carlos A. Iglesias (2023). SLIWC, Morality, NarrOnt and Senpy Annotations: four vocabularies to fight radicalization. In Sara Carvalho, Jorge Gracia, Anas Fahad Khan, John P. McCrae, Ana Ostroški Anić, Dagmar Gromann et al (editors), Proceedings of the 4th Conference on Language, Data and Knowledge, pages 617-626. Vienna : NOVA CLUNL, Portugal.
Making Sense of Language Signals for Monitoring Radicalization

Oscar Araque, J. Fernando Sánchez Rada, Álvaro Carrera Barroso, Carlos A. Iglesias, Jorge Tardío Rubio, Guillermo García Grao et al. (2022). Making Sense of Language Signals for Monitoring Radicalization. Applied Sciences, 12 (8143), 1-27.

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.
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).
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 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.
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.
Sentiment and Emotion Analysis in Social Networks: modeling and linking data, affects and people

J. Fernando Sánchez Rada. (2020). Sentiment and Emotion Analysis in Social Networks: modeling and linking data, affects and people. Tesis doctoral. Universidad Politécnica de Madrid.
JAICOB: A Data Science Chatbot

Daniel Carlander-Reuterfelt Gallo, Álvaro Carrera Barroso, Carlos A. Iglesias, Oscar Araque, J. Fernando Sánchez Rada & Sergio Muñoz López. (2020). JAICOB: A Data Science Chatbot. IEEE Access, 8, 180672-180680.
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.
Senpy: A framework for semantic sentiment and emotion analysis services

J. Fernando Sánchez Rada, Oscar Araque & Carlos A. Iglesias. (2019). Senpy: A framework for semantic sentiment and emotion analysis services. Knowledge-Based Systems.
Analyzing Radicalism Spread Using Agent-Based Social Simulation

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.
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.
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

ACKnowledge. Kit de Construcción de Asistentes

Líneas de investigación: NLP y Análisis de Sentimientos

Fecha de comienzo: 2024-09-01

Fecha de finalización: 2027-09-30

AMOR. Análisis de sentimiento MORal en datos textuales

Líneas de investigación: NLP y Análisis de Sentimientos

Fecha de comienzo: 2023-02-01

Fecha de finalización: 2025-12-31

AROMA. Artificial Intelligence Models for Predicting Physical and Mental Frailty in Elderly at Home

Líneas de investigación: Big Data y Aprendizaje Automático, NLP y Análisis de Sentimientos

Fecha de comienzo: 2022-12-01

Fecha de finalización: 2024-12-01

PARTICIPATION. Analyzing and Preventing Extremism Via Participation

Líneas de investigación: NLP y Análisis de Sentimientos

Fecha de comienzo: 2020-12-01

Fecha de finalización: 2023-11-30

Aplicación de Bots Cognitivos para el Aprendizaje de Técnicas de Aprendizaje Automático

Líneas de investigación: Agentes y Simulación Social

Fecha de comienzo: 2019-01-08

Fecha de finalización: 2019-12-31

Cognos. Agentes Cognitivos para la Interacción Personal Segura y Emotiva en Entornos de Movilidad

Líneas de investigación: Agentes y Simulación Social, NLP y Análisis de Sentimientos, La Web de Datos y Tecnologías Semánticas

Fecha de comienzo: 2019-01-01

Fecha de finalización: 2022-12-30

Life Long Learning. Machine Learning for Big Data and Text Processing

Líneas de investigación: Big Data y Aprendizaje Automático

Fecha de comienzo: 2018-09-01

Fecha de finalización: 2019-02-28

Un Enfoque de Aprendizaje basado en Retos para Técnicas en Análisis de Datos

Líneas de investigación: Big Data y Aprendizaje Automático

Fecha de comienzo: 2018-02-01

Fecha de finalización: 2018-11-15

Trivalent. Terrorism pReventIon Via rAdicaLisation countEr-NarraTive

Líneas de investigación: Big Data y Aprendizaje Automático

Fecha de comienzo: 2017-01-17

Fecha de finalización: 2019-01-17

Emospaces. Enhanced Affective Wellbeing based on Emotion Technologies for adapting IoT spaces

Líneas de investigación: Agentes y Simulación Social, NLP y Análisis de Sentimientos

Fecha de comienzo: 2016-09-01

Fecha de finalización: 2019-12-31

SEMOLA. Tecnologías de Análisis de Sentimientos y emociones para agentes sociales empáticos en inteligencia ambiental

Líneas de investigación: Agentes y Simulación Social

Fecha de comienzo: 2016-05-12

Fecha de finalización: 2018-12-31

MixedEmotions. Social Semantic Emotion Analysis for Innovative Multilingual Big Data Analytics Markets

Líneas de investigación: NLP y Análisis de Sentimientos

Fecha de comienzo: 2015-04-01

Fecha de finalización: 2017-04-30

EuroSentiment. Language Resource Pool for Sentiment Analysis in European Languages

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

EPISTEME - Ecosistema Digital de soporte a la gestión de procesos innovadores entre PYME y a la generación de modelos colaborativos de negocio

Líneas de investigación: La Web de Datos y Tecnologías Semánticas

Fecha de comienzo: 2012-04-01

Fecha de finalización: 2012-12-31

Financial Twitter Tracker

Líneas de investigación: La Web de Datos y Tecnologías Semánticas

Fecha de comienzo: 2011-09-01

Fecha de finalización: 2013-12-31

Web4.0

Líneas de investigación: Agentes y Simulación Social

Fecha de comienzo: 2010-09-01

Fecha de finalización: 2012-12-31