Glívia A. R. Barbosa

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In recent years, the task of sentiment analysis has attracted much interest from the machine learning community. Considering the benefits offered by this analysis, it is increasingly necessary to analyze feelings and opinions that are expressed continuously in sentiment streams provided by users in social media channels. Many automatic classification(More)
Children and teenagers comprise a user group particularly susceptible to privacy infringement risks in Online Social Networks (OSNs). In this sense, the usability of privacy controls should be appropriate to such users. This study aims to characterize, through a case study on Facebook, how children and teenagers deal with privacy features on OSNs and(More)
In this paper we describe the partial results and future directions of a research in progress, which main goal is to analyze whether the opinion expressed through Twitter hashtags can help to identify and track online sentiment. Once confirmed this contribution, this type of hashtag can be used as input for applications that aim to detect and track(More)
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