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Exploring Optimism and Pessimism in Twitter Using Deep Learning
Identifying optimistic and pessimistic viewpoints and users from Twitter is useful for providing better social support to those who need such support, and for minimizing the negative influence among users and maximizing the spread of positive attitudes and ideas.
ALB at SemEval-2018 Task 10: A System for Capturing Discriminative Attributes
Semantic difference detection attempts to capture whether a word is a discriminative attribute between two other words.
On the stylistic evolution from communism to democracy: Solomon Marcus study case
In this article we propose a stylistic analysis of Solomon Marcus{'} non-scientific published texts, gathered in six volumes, aiming to uncover some of his quantitative and qualitative fingerprints.
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