Determining language variant in microblog messages

• Type: Article in International Conference Proceedings Book
• Date: 2013

Authors

laboreiro, g (Author) Other; bosnjak, m (Author) Other; sarmento, l (Author) Other; rodrigues, em (Author) Other; oliveira, e (Author) FEUP

Conference proceedings International

Title: Proceedings of the ACM Symposium on Applied Computing

Pages: 902-907

28th Annual ACM Symposium on Applied Computing, SAC 2013

Coimbra, 18 March 2013 through 22 March 2013

Indexing

ISI Web of Knowledge

Scopus - 1 Citation

Scientific classification

CORDIS: Physical sciences > Computer science > Informatics

Other information

Authenticus ID: P-008-B09

DOI: 10.1145/2480362.2480535

Resumo (PT): It is dicult 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 specic 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 classication approach using a Nave Bayes classier, achieving 95% accuracy. We nd that our system is adequate for real-time tweet classication.

Abstract (EN): 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 Naïve Bayes classifier, achieving 95% accuracy. We find that our system is adequate for real-time tweet classification. Copyright 2013 ACM.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 6