Open AccessElection analysis in Colombia and Venezuela 2015 through sentiment analysis and Twitter
Author(s) -
Sonia Ordóñez Salinas,
Juan Manuel Pérez Trujillo,
Romario Albeiro Sánchez Montero
Publication year - 2016
Publication title -
sistemas and telematica
Language(s) - English
Resource type - Journals
ISSN - 1692-5238
DOI - 10.18046/syt.v14i39.2349
Subject(s) - sentiment analysis , descriptive statistics , order (exchange) , political science , content analysis , general election , business , sociology , statistics , computer science , social science , law , politics , mathematics , finance , machine learning
This paper presents an analysis of the accounts of the main candidates in the regional elections on October 25, 2015 in Colombia (Bogotá, Medellin and Cali) and the official hashtags of the two main parties for parliamentary elections on December 6, 2015 in Venezuela (PSUV and MUD) in order to determine the positive or negative trends and compare them with the results of the respective elections. To develop the analysis, we resorted to the technique of sentiment analysis own of data mining and the use of descriptive statistics, concluding that sentiment analysis for estimating trends requires processes to monitor retweets, if you want acceptable results.