Análisis de sentimientos de Twitter en las elecciones 2021

Abstract

Currently, there is a growing interest in sentiment analysis using social networks, because public opinion and user interest can be easily measured by collecting information and interactions, as well as implementing the necessary techniques to interpret the expected sentiment in each interaction. The purpose of this study is to identify the most influential candidates on the social network Twitter using sentiment analysis, and thus demonstrate the possibility of perceiving the social network as a political campaign tool, the method used for this purpose consists of the correlation method with quantitative approach, which allows the evaluation of the data collected during the sentiment analysis using statistical graphs and percentage calculations. As a result, it was found that the largest number of positive tweets were generated by the candidate Guillermo Lasso, as well as through the hashtags related to the candidate, it was found that there is a clear positive trend among netizens. Subsequent the analysis of the data obtained, it is concluded that Twitter was validated as a viable campaign strategy by allowing a more effective promotion and dissemination of information to the voting public, creating trending topics that can often be learned and discussed by other interested users.