@InProceedings{rosa_et_al:OASIcs.SLATE.2014.185,
author = {Rosa, Hugo and Carvalho, Jo\~{a}o Paulo and Batista, Fernando},
title = {{Detecting a Tweet’s Topic within a Large Number of Portuguese Twitter Trends}},
booktitle = {3rd Symposium on Languages, Applications and Technologies},
pages = {185--199},
series = {Open Access Series in Informatics (OASIcs)},
ISBN = {978-3-939897-68-2},
ISSN = {2190-6807},
year = {2014},
volume = {38},
editor = {Pereira, Maria Jo\~{a}o Varanda and Leal, Jos\'{e} Paulo and Sim\~{o}es, Alberto},
publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
address = {Dagstuhl, Germany},
URL = {https://drops-dev.dagstuhl.de/entities/document/10.4230/OASIcs.SLATE.2014.185},
URN = {urn:nbn:de:0030-drops-45696},
doi = {10.4230/OASIcs.SLATE.2014.185},
annote = {Keywords: topic detection, social networks data mining, Twitter, Portuguese language}
}