@inproceedings{daudert-2017-analysing,
    title = "Analysing Market Sentiments: Utilising Deep Learning to Exploit Relationships within the Economy",
    author = "Daudert, Tobias",
    editor = "Kovatchev, Venelin  and
      Temnikova, Irina  and
      Gencheva, Pepa  and
      Kiprov, Yasen  and
      Nikolova, Ivelina",
    booktitle = "Proceedings of the Student Research Workshop Associated with {RANLP} 2017",
    month = sep,
    year = "2017",
    address = "Varna",
    publisher = "INCOMA Ltd.",
    url = "https://doi.org/10.26615/issn.1314-9156.2017_002",
    doi = "10.26615/issn.1314-9156.2017_002",
    pages = "10--16",
    abstract = "In today{'}s world, globalisation is not only affecting inter-culturalism but also linking markets across the globe. Given that all markets are affecting each other and are not only driven by fundamental data but also by sentiments, sentiment analysis regarding the markets becomes a tool to predict, anticipate, and milden future economic crises such as the one we faced in 2008. In this paper, an approach to improve sentiment analysis by exploiting relationships among different kinds of sentiment, together with supplementary information, from and across various data sources is proposed.",
}