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

Authors: 
Publication Type: 
Refereed Conference Meeting Proceeding
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.
Conference Name: 
INTERNATIONAL CONFERENCE RECENT ADVANCES IN NATURAL LANGUAGE PROCESSING 2017 (RANLP 2017)
Digital Object Identifer (DOI): 
10.NO
Publication Date: 
01/09/2017
Conference Location: 
Bulgaria
Research Group: 
Institution: 
National University of Ireland, Galway (NUIG)
Open access repository: 
Yes