Abstract
The social network Twitter has become a way of promoting opinions that have not gone unnoticed in current societies' social and political events. This research focuses on performing sentiment analysis of the publications on the social network Twitter from March 2021 to August 2021 to analyze users' feelings, reactions, and perceptions regarding the 2021 National Strike in Cali-Colombia, through techniques based on Text Mining and Machine Learning. A five stages methodology is proposed, which is composed of: data set identification, data extraction, data pre-processing, data processing, and results. This work intends to serve as a basic methodological instrument for future research implementing the use of computational tools, particularly sentiment analysis, to identify and analyze behavior patterns based on information related to citizens' reactions in social networks.
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