Memorias de investigación
Ponencias en congresos:
A Linked Data Approach to Sentiment and Emotion Analysis of Twitter in the Financial Domain
Año:2014
Áreas de investigación
  • Telemática
Datos
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
Participantes
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Grupo de Sistemas Inteligentes
  • Departamento: Ingeniería de Sistemas Telemáticos