Sentiment Analysis on Post conflict in Colombia: A Text Mining Approach

Authors

  • Víctor Daniel Gil Vera Universidad Católica Luis Amigó
  • Lina María Montoya Suárez
  • Isabel Cristina Puerta Lopera

Keywords:

Colombia, Peace, Post conflict, Sentiment analysis, Text mining

Abstract

The post conflict in Colombia is the period of time that began with the agreement signed in 2016 between the government and the Revolutionary Armed Forces of Colombia (FARC-EP) where it is agreed the cessation of the armed conflict and the establishment of a stable and lasting peace. The objective of this paper is to perform a tweets analysis of feelings and opinions from the social network Twitter related to the Colombian post conflict, which has become a widely debated topic in the world. 250 tweets of Colombians and 250 tweets of Foreigners were collected. The feelings of Foreigners were considered to analyze the public perception that other people have different to Colombians. A comparative analysis was developed; the results of the Colombians were significantly different from Foreigners. The tweets of Foreigners have more positive feelings compared to the Colombians tweets. In comparison with the proportion of tweets with positive feelings of Foreigners, 60%, the percentage of Colombians tweets is only 20%.

Author Biography

Víctor Daniel Gil Vera, Universidad Católica Luis Amigó

Víctor Daniel Gil Vera

Teacher and Researcher

Universidad Católica Luis Amigó

 

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Published

2018-04-21

How to Cite

Gil Vera, V. D., Montoya Suárez, L. M., & Puerta Lopera, I. C. (2018). Sentiment Analysis on Post conflict in Colombia: A Text Mining Approach. Asian Journal of Applied Sciences, 6(2). Retrieved from https://www.ajouronline.com/index.php/AJAS/article/view/5251

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