Sentiment Analysis on the Social Network “X”, Public Perception of the President of Ecuador, Daniel Noboa (November 2023 - April 2024)

Abstract

This study examines public opinions and social evaluations regarding the President of Ecuador, Daniel Noboa, on the social network “X” through sentiment analysis techniques. To this end, web scraping was implemented, allowing for the efficient and cost-effective collection of 3177 relevant tweets. Subsequently, a manual labeling process of the emotions reflected in the messages was carried out, aiming to ensure a more rigorous and representative classification of users' sentiments. The results revealed that 79.7% of the tweets were neutral, indicating a lack of a defined stance in most mentions. However, 16.6% of the messages expressed a negative orientation, showing a significant presence of criticism and disapproval toward the president. In contrast, only 3.7% of the tweets reflected a positive attitude, indicating a relatively low level of explicit support. These findings suggest that President Noboa’s image on “X” is predominantly neutral, with a significant tendency toward criticism and limited positive endorsement. The study demonstrates the usefulness of web scraping and sentiment analysis as key tools for evaluating public opinion on social media, providing valuable insights into the sociopolitical dynamics in digital environments.