@conference{22014,
author = "S{\'a}nchez-Rada, J. Fernando and Torres, Marcos and Iglesias, Carlos A. and Roberto Maestre and Raquel Peinado",
abstract = "Sentiment analysis has recently gained popularity in the financial 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 for providers, and complements existing initiatives such as FIBO. The approach has been validated in the semantic annotation of tweets of several stocks in the Spanish stock market, including its sentiment information.",
booktitle = "Second International Workshop on Finance and Economics on the Semantic Web (FEOSW 2014)",
issn = "1613-0073",
keywords = "linked data, semantic, finance, sentiment analysis, emotions",
month = "May",
pages = "51-62",
title = "{A} {L}inked {D}ata {A}pproach to {S}entiment and {E}motion {A}nalysis of {T}witter in the {F}inancial {D}omain",
url = "http://ceur-ws.org/Vol-1240/",
volume = "1240",
year = "2014",
}