Memorias de investigación
Communications at congresses:
A Linked Data Approach to Sentiment and Emotion Analysis of Twitter in the Financial Domain
Year:2014

Research Areas
  • Telematics

Information
Abstract
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.
International
Si
Congress
Second International Workshop on Finance and Economics on the Semantic Web (FEOSW 2014) in conjunction with 11th Extended Semantic Web Conference (ESWC 2014)
960
Place
Anissaras, Crete, Greece
Reviewers
Si
ISBN/ISSN
1613-0073
Start Date
25/05/2014
End Date
29/05/2014
From page
51
To page
62
Proceedings of the Second International Workshop on Finance and Economics on the Semantic Web (FEOSW 2014)
Participants

Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Grupo de Sistemas Inteligentes
  • Departamento: Ingeniería de Sistemas Telemáticos