| Summary: | Actually social networks have been attracting millions of
users, because they are favorable environments for studying many
computing themes (distributed systems, traffic patterns over the
internet, data mining, multimedia systems, among others), directed to
different areas (epidemiology, politics, sports, marketing). The concept
created over the social networks became a key theme for researches
related to processing and organization of huge amount of data. On this
context, this research proposes an application that is able to collect
data shared over the social network named Twitter, process this data
and generate information in order to obtain results that permit
identify probable concentrations of a certain disease on a determined
place and period, assisting the epidemiology.
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