Using Twitter to Characterize Public Opinion in Brazil During Political Events

被引：1

作者：

Nobre, Gabriel Peres ^{[1
]}

Marques Ferreira, Kecia Aline ^{[2
]}

Silva, Ismael Santana ^{[2
]}

Rodrigues Barbosa, Glivia Angelica ^{[2
]}

机构：

[1] Univ Fed Minas Gerais, Belo Horizonte, MG, Brazil

[2] CEFET MG, Belo Horizonte, MG, Brazil

来源：

INTERNATIONAL JOURNAL OF E-COLLABORATION | 2019年 / 15卷 / 03期

关键词：

Data Characterization; Online Social Network; Sentiment Analysis;

D O I：

10.4018/IJeC.2019070104

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this work, the authors characterize Brazilian online population sentiment on different political events using data from Twitter and discuss the advantages of the usage of this social media as a data source. The results demonstrated that the Brazilian population uses Twitter to manifest their political view, expressing both positive and negative sentiments regarding political events. This kind of characterization may contribute to build a critical opinion of Brazilian people, once they would not be limited by what is being divulgated by typical media, such as television and newspapers. Additionally, the authors reinforced the applicability of social media, as Twitter, to make this kind of characterization.

引用

页码：49 / 61

页数：13

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