Analysing Market Sentiments: Utilising Deep Learning to Exploit Relationships within the Economy

Tobias Daudert


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.
Anthology ID:
R17-2002
Volume:
Proceedings of the Student Research Workshop Associated with RANLP 2017
Month:
September
Year:
2017
Address:
Varna
Venue:
RANLP
SIG:
Publisher:
INCOMA Ltd.
Note:
Pages:
10–16
Language:
URL:
https://doi.org/10.26615/issn.1314-9156.2017_002
DOI:
10.26615/issn.1314-9156.2017_002
Bibkey:
Cite (ACL):
Tobias Daudert. 2017. Analysing Market Sentiments: Utilising Deep Learning to Exploit Relationships within the Economy. In Proceedings of the Student Research Workshop Associated with RANLP 2017, pages 10–16, Varna. INCOMA Ltd..
Cite (Informal):
Analysing Market Sentiments: Utilising Deep Learning to Exploit Relationships within the Economy (Daudert, RANLP 2017)
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PDF:
https://doi.org/10.26615/issn.1314-9156.2017_002