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The rise of the Web 2.0 caused a real democratization in the context of data generation. These data are mostly provided in the form of texts, ranging from the reports provided by news portals, using a formal language, to comments in blog and micro-blogging applications that abuse the use of an informal language. Address this heterogeneity is an essential preprocessing so that these data can be used by tools that aim to infer accurate information based on such data. Thus, this work presents thedoi:10.1016/j.procs.2012.04.043 fatcat:hg33o447erbytdx454h6nirjhy