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Gender Differences in the Use of Portuguese in Social Networks: Evidence from LIWC

Published: 08 November 2016 Publication History

Abstract

This work aims at highlighting gender differences in the use of Brazilian Portuguese by users of a Brazilian social network. We perform this study by using a dictionary of a text analysis program named LIWC. Experimental results indicate that males and females differ with respect to the most used word classes. Our results are consistent with studies performed in other languages.

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  • (2017)Night Sleep DeprivationProceedings of the 23rd Brazillian Symposium on Multimedia and the Web10.1145/3126858.3131595(221-224)Online publication date: 17-Oct-2017

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cover image ACM Other conferences
Webmedia '16: Proceedings of the 22nd Brazilian Symposium on Multimedia and the Web
November 2016
384 pages
ISBN:9781450345125
DOI:10.1145/2976796
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

  • FAPEPI: Fundacao de Amparo a Pesquisa do Estado do Piaui
  • 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: 08 November 2016

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Author Tags

  1. LIWC
  2. sentiment analysis
  3. text mining

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  • Short-paper

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Webmedia '16
Sponsor:
  • FAPEPI
  • SBC
  • CNPq
  • CGIBR
  • CAPES
Webmedia '16: 22nd Brazilian Symposium on Multimedia and the Web
November 8 - 11, 2016
Piauí State, Teresina, Brazil

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Webmedia '16 Paper Acceptance Rate 29 of 94 submissions, 31%;
Overall Acceptance Rate 270 of 873 submissions, 31%

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  • (2017)Night Sleep DeprivationProceedings of the 23rd Brazillian Symposium on Multimedia and the Web10.1145/3126858.3131595(221-224)Online publication date: 17-Oct-2017

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