Observatorio de I+D+i UPM

Descripción
Sentiment analysis has recently gained popularity in the fi- nancial domain thanks to its capability to predict the stock market based on the wisdom of the crowds. Nevertheless, current sentiment indicators are still silos that cannot be combined to get better insight about the mood of different communities. In this article we propose a Linked Data approach for modelling sentiment and emotions about financial entities. We aim at integrating sentiment information from different communities or providers, and complements existing initiatives such as FIBO. The ap- proach has been validated in the semantic annotation of tweets of several stocks in the Spanish stock market, including its sentiment information.
Internacional	Si
Nombre congreso	Second International Workshop on Finance and Economics on the Semantic Web (FEOSW 2014) in conjunction with 11th Extended Semantic Web Conference (ESWC 2014)
Tipo de participación	960
Lugar del congreso	Anissaras, Crete, Greece
Revisores	Si
ISBN o ISSN	1613-0073
DOI
Fecha inicio congreso	25/05/2014
Fecha fin congreso	29/05/2014
Desde la página	51
Hasta la página	62
Título de las actas	Proceedings of the Second International Workshop on Finance and Economics on the Semantic Web (FEOSW 2014)

Esta actividad pertenece a memorias de investigación

• Autor: Juan Fernando Sanchez Rada (UPM)
• Autor: Marcos Torres (UPM)
• Autor: Carlos Angel Iglesias Fernandez (UPM)
• Autor: Roberto Maestre (Paradigma Tecnológico)
• Autor: Esther Peinado (Paradigma Tecnológico)

• Creador: Grupo de Investigación: Grupo de Sistemas Inteligentes
• Departamento: Ingeniería de Sistemas Telemáticos