Characterization of Public Opinion on Political Events in Brazil Based on Twitter Data

被引:1
|
作者
Nobre, Gabriel Peres [1 ]
Marques Ferreira, Kecia Aline [1 ]
Silva, Ismael Santana [1 ]
Rodrigues Barbosa, Glivia Angelica [1 ]
机构
[1] Ctr Fed Educ Tecnol Minas Gerais, Comp Dept, Belo Horizonte, MG, Brazil
来源
关键词
Sentiment analysis; Data characterization; Online social network;
D O I
10.1007/978-3-319-99504-5_9
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 we characterize Brazilian online population sentiment on different political events using data from Twitter and we also discuss the advantages of the usage of this social media as 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, we reinforced the applicability of social media, as Twitter, to make this kind of characterization.
引用
收藏
页码:105 / 116
页数:12
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