Quantifying opinions expressed in tweets during the 2021 Ecuadorian Presidential Elections through Sentiment Analysis
Abstract
This work summarizes the results obtained after applying the Sentiment Analysis technique in tweets published during the Presidential Debate and the Ecuadorian Presidential Rounds of 2021. Criteria and alternatives are exposed to organize and quantify the opinions expressed on Twitter by thousands of users on the issues in question, and the characters involved. These techniques could benefit government entities that seek to measure citizen acceptance, or private organizations that seek to know the general opinion about a service or a brand.
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