Sentiment Analysis in Tweets Related to Deforestation of the Amazon Rainforest

• Vinícius J. Paes UFRPE
• Danilo Araújo UFRPE
• Kellyton Brito UFRPE
• Ermeson Andrade UFRPE

DOI: https://doi.org/10.5753/brasnam.2022.222648

Abstract

The Amazon Forest is being devastated at the fastest pace in recent years. In 2020, the Amazon registered the biggest deforestation of the decade. Although many works address the issue of deforestation, none of them focus on analyzing the sentiments of the Brazilian population regarding the issue. This work presents an analysis of the sentiments of the Brazilian population related to the deforestation of the Amazon rainforest through the text mining of Twitter and aims to understand how Brazilian users opine and dialogue about the deforestation of the Amazon rainforest. The results reveal that Brazilian users tend to react to events related to deforestation in the Amazon forest on Twiter and that most users have a negative sentiment about the topic, reaching peaks of approximately 60% of tweets in a given time.

Keywords: Deforestation, Sentiment Analysis, Twitter

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