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• W4313200123 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." @default.
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• W4313200123 date "2022-01-01" @default.
• W4313200123 modified "2023-09-30" @default.
• W4313200123 title "Data Science in Social Politics with Particular Emphasis on Sentiment Analysis" @default.
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• W4313200123 doi "https://doi.org/10.1016/j.procs.2022.11.194" @default.
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