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How to Find the Relevant Words Politicians Use in Twitter?

Published: 17 October 2017 Publication History

Abstract

The dynamics of society are constantly changing by social media. Twitter has been standing out as one of the main platforms for infor- mation discovery and its political use have been growing since 2008. In this work we collected the public deputies tweets between 2013 and 2015 for topic extraction by means of computational models. However, due to the large number of irrelevant words from the data dictionary, we used tf-idf and Shannon's entropy to identify and select relevant political words.

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Natasha Bachini Pereira. 2011. Sob o piado do Twitter: o novo tom das campanhas eleitorais no Brasil com a difusão da internet. In Congresso Luso Afro Brasileiro de Ciências Sociais, Vol. 11. 1--23.
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cover image ACM Other conferences
WebMedia '17: Proceedings of the 23rd Brazillian Symposium on Multimedia and the Web
October 2017
522 pages
ISBN:9781450350969
DOI:10.1145/3126858
Permission to make digital or hard copies of all or part 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 components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Sponsors

  • SBC: Brazilian Computer Society
  • CNPq: Conselho Nacional de Desenvolvimento Cientifico e Tecn
  • CGIBR: Comite Gestor da Internet no Brazil
  • CAPES: Brazilian Higher Education Funding Council

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 17 October 2017

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Author Tags

  1. shannon's entropy
  2. social network
  3. text relevance
  4. tf-idf
  5. twitter

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  • Short-paper

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Webmedia '17
Sponsor:
  • SBC
  • CNPq
  • CGIBR
  • CAPES
Webmedia '17: Brazilian Symposium on Multimedia and the Web
October 17 - 20, 2017
RS, Gramado, Brazil

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WebMedia '17 Paper Acceptance Rate 38 of 138 submissions, 28%;
Overall Acceptance Rate 270 of 873 submissions, 31%

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