Electoral Survey in Social Networks: Inclusion of New Dimension Analysis
Abstract
This paper aims to use public data from social networks to conduct election surveys and studies. Although prior work has already focused on this task, none has taken into account the unique user identification together with inherent factors of the virtual environment, such as sentiment analysis of messages, detection of spammers as well as of journalistic content. Our experimental results show that more elaborate analyses are able to improve the numbers achieved by the method used in other works.
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