@InProceedings{daudert:2017:RANLPStud,
  author    = {Daudert, Tobias},
  title     = {Analysing Market Sentiments: Utilising Deep Learning to Exploit Relationships within the Economy},
  booktitle = {Proceedings of the Student Research Workshop Associated with RANLP 2017},
  month     = {September},
  year      = {2017},
  address   = {Varna},
  publisher = {INCOMA Ltd.},
  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.},
  url       = {https://doi.org/10.26615/issn.1314-9156.2017_002}
}