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Portuguese geolocated tweets: an overview

Published: 16 May 2014 Publication History

Abstract

This paper describes an existing database of geolocated tweets that were produced in Portuguese regions. The existing database was collected during eight consecutive days and contains about 307K tweets, produced by about 11K different users. A detailed analysis on the content of the messages suggests a predominance of teenagers and young adult authors that use Twitter as a way to communicate their feelings, ideas and comments to their colleagues. An overview of the dataset suggests that tweets have a very personal content, often describing family bonds and school activities and concerns. This is a suitable source of information for a number of tasks, including sociolinguistic studies, sentiment analysis, among others.

References

[1]
S. Kumar, F. Morstatter, H. Liu. 2013. Twitter Data Analytics. Springer, New York, NY, USA.
[2]
Brain, Statistic. 2014. Twitter Statistics, http://www.statisticbrain.com/twitter-statistics/.
[3]
Twitter. 2013. Documentation, https://dev.twitter.com/docs/.
[4]
M. Souza, R. Vieira. 2012. Sentiment analysis on twitter data for Portuguese language. Computational Processing of the Portuguese Language. Lecture Notes in Computer Science. Springer Berlin Heidelberg, vol. 7243, pp. 241--247.
[5]
T. D. S. Cunha. 2013. Sentiment analysis on twitter's Portuguese language. Faculdade de Engenharia da Universidade do Porto.
[6]
J. C. Santos, S. Matos. 2013. Predicting incidence from Portuguese tweets. IWBBIO, pp. 11--18.
[7]
W. Ling, G. Xiang, C. Dyer, A. Black, I. Trancoso. 2013. Microblogs as parallel corpora. Proceedings of the 51st Annual Meeting on Association for Computational Linguistics.
[8]
A. Brito. 2008. O discurso da afetividade e a linguagem dos emoticons, Revista Eletrônica de Divulgação Científica em Língua Portuguesa, Linguística e Literatura, number 9.
[9]
Tyler Schnoebelen. 2012. Do you smile with your nose? stylistic variation in twitter emoticons. In Working Papers in Linguistics, volume 18. University of Pennsylvania

Cited By

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  • (2017)MISNISExpert Systems with Applications: An International Journal10.1016/j.eswa.2017.08.00189:C(374-388)Online publication date: 15-Dec-2017
  • (2016)Using geolocated tweets for characterization of Twitter in Portugal and the Portuguese administrative regionsSocial Network Analysis and Mining10.1007/s13278-016-0347-86:1Online publication date: 20-Jun-2016

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    Published In

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    ISDOC '14: Proceedings of the International Conference on Information Systems and Design of Communication
    May 2014
    192 pages
    ISBN:9781450327138
    DOI:10.1145/2618168
    Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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    • ADETTI-IUL: Advanced IS&IT Research Center
    • EuroSIGDOC: ACM SIGDOC European chapter

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 16 May 2014

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    Author Tags

    1. Portuguese tweets
    2. Twitter
    3. Twitter APIs
    4. data analysis

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    ISDOC 2014
    Sponsor:
    • ADETTI-IUL
    • EuroSIGDOC

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    ISDOC '14 Paper Acceptance Rate 31 of 63 submissions, 49%;
    Overall Acceptance Rate 31 of 63 submissions, 49%

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    Cited By

    View all
    • (2017)MISNISExpert Systems with Applications: An International Journal10.1016/j.eswa.2017.08.00189:C(374-388)Online publication date: 15-Dec-2017
    • (2016)Using geolocated tweets for characterization of Twitter in Portugal and the Portuguese administrative regionsSocial Network Analysis and Mining10.1007/s13278-016-0347-86:1Online publication date: 20-Jun-2016

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