Influence of social networks on the analysis of sentiment applied to the political situation in Ecuador

被引:1
|
作者
Gomez-Torres, Estevan [1 ]
Jaimes, Roger [2 ]
Hidalgo, Orlando [2 ]
Lujan-Mora, Sergio [3 ]
机构
[1] Univ Tecnol Equinoccial, Quito, Ecuador
[2] Univ Fuerzas Armadas, Quito, Ecuador
[3] Univ Alicante, Alicante, Spain
来源
ENFOQUE UTE | 2018年 / 9卷 / 01期
关键词
sentiment analysis; Twitter; text mining; Stanford NLP; Rafael Correa;
D O I
10.29019/enfoqueute.v9n1.235
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Knowing the opinion of a sector of the population can be as important to launch a product in marketing, as to know the opinion of voters, in politics. In Ecuador, the social network Twitter has become one of the main means of direct interaction between political figures and the population. So a study that reflects feelings in Spanish by idioms of each region, gives us a great opportunity to study the relationship between the level of acceptance on Twitter of a candidate and the election results. The contribution of this article is the analysis of feelings (SA) using a tool for NLP adapted to the variation of Spanish used in Ecuador, taking advantage of the fact that most of the literature has focused on the English language, while adaptations for languages, like Spanish, they are minimal and are still in process due to the complexity inherent in the language.
引用
收藏
页码:67 / 78
页数:12
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