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The huge amount of data daily produced through social networks, such as Twitter, has been motivating several researchers and companies to design approaches to model and study users' behavior/feelings. Most of the current studies have been focusing on building tweet datasets which are later analyzed using offline tools. This paper introduces a new approach(More)
The study and modeling of systems have called the attention of several researchers, who are interested in estimating rules to describe data behavior. However, before proceeding with this estimation, it is necessary to understand the intrinsic features embedded in data. When such features are not correctly analyzed, the model accuracy tends to decrease. A(More)
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