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Expanding a Database of Portuguese Tweets

Authors: Gaspar Brogueira, Fernando Batista, João Paulo Carvalho, and Helena Moniz

Published in: OASIcs, Volume 38, 3rd Symposium on Languages, Applications and Technologies (2014)

This paper describes an existing database of geolocated tweets that were produced in Portuguese regions and proposes an approach to further expand it. The existing database covers eight consecutive days of collected tweets, totaling about 300 thousand tweets, produced by about 11 thousand different users. A detailed analysis on the content of the messages suggests a predominance of young authors that use Twitter as a way of reaching their colleagues with their feelings, ideas and comments. In order to further characterize this community of young people, we propose a method for retrieving additional tweets produced by the same set of authors already in the database. Our goal is to further extend the knowledge about each user of this community, making it possible to automatically characterize each user by the content he/she produces, cluster users and open other possibilities in the scope of social analysis.

Cite as

Gaspar Brogueira, Fernando Batista, João Paulo Carvalho, and Helena Moniz. Expanding a Database of Portuguese Tweets. In 3rd Symposium on Languages, Applications and Technologies. Open Access Series in Informatics (OASIcs), Volume 38, pp. 275-282, Schloss Dagstuhl - Leibniz-Zentrum für Informatik (2014)

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  author =	{Brogueira, Gaspar and Batista, Fernando and Carvalho, Jo\~{a}o Paulo and Moniz, Helena},
  title =	{{Expanding a Database of Portuguese Tweets}},
  booktitle =	{3rd Symposium on Languages, Applications and Technologies},
  pages =	{275--282},
  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.dagstuhl.de/entities/document/10.4230/OASIcs.SLATE.2014.275},
  URN =		{urn:nbn:de:0030-drops-45763},
  doi =		{10.4230/OASIcs.SLATE.2014.275},
  annote =	{Keywords: Twitter, corpus of Portuguese tweets, Twitter API, natural language processing, text analysis}
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