Sentiment Analysis of Sustainable Development Goals on Twitter with Classifying Decision Tree C5.0 and Classification and Regression Tree

Sustainable Development Goals (SDGs) as one of the programs carried out by the United Nations with the main objective of reducing inequality, ending poverty and protecting the environment. Sentiment analysis is used to process and further analyze public opinion on a topic. This study aims to find out how many neutral, positive and negative sentiments are for the SDGs topic on Twitter and to build a classification model of public sentiment towards SDGs using Decision Tree C5.0 and Classification and Regression Tree (CART). The data used in this study are tweets on the topic of SDGs in English from May 17, 2022 to May 24, 2022. The results showed that there were 3,956 tweets with neutral sentiment, 5,228 tweets with positive sentiment and 816 tweets with negative sentiment. The Decision Tree C5.0 model has an accuracy, precision and recall value of 94.54%, 94.54% and 99.43%, respectively, while the CART model has an accuracy, precision and recall value of 92.97%, 99.42% and 92.93%, respectively. The best model for classifying sentiment on the topic of SDGs is the Decision Tree C5.0 model.