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- W2079235748 abstract "It is difficult to determine the country of origin of the author of a short message based only on the text. This is an even more complex problem when more than one country uses the same native language. In this paper, we address the specific problem of detecting the two main variants of the Portuguese language --- European and Brazilian --- in Twitter micro-blogging data, by proposing and evaluating a set of high-precision features. We follow an automatic classification approach using a Naive Bayes classifier, achieving 95% accuracy. We find that our system is adequate for real-time tweet classification." @default.
- W2079235748 created "2016-06-24" @default.
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- W2079235748 date "2013-03-18" @default.
- W2079235748 modified "2023-09-25" @default.
- W2079235748 title "Determining language variant in microblog messages" @default.
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- W2079235748 doi "https://doi.org/10.1145/2480362.2480535" @default.
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