“…Other studies on sentiment analysis include: measuring the impact of the presidential candidate pronouncement (Le et al, 2017); determining which presidential candidate is favored based on widely discussed topics (Hamling & Agrawal, 2017); investigating the candidate's political behavior based on social media content (DiGrazia et al, 2013); outlining the process for summarizing the important political issues (Stieglitz & Dang-Xuan, 2013); comparing the significant relationships of public mood levels and major events (i.e., social, political, cultural, and economic) (Bollen et al, 2011); understanding the politicians' discourse toward local gun policy using news articles (M'Bareck, 2019); detecting fears on texts (e. g., speeches and documents) from different political, economic, and humanitarian leaders (Hogenraad, 2019); and gaining insights from the tone used by the presidents of the United States of America in their addresses (Rydeen, 2018). Several studies suggested that sentiment analysis can be used to classify phenomenon in text data (Bringula et al, 2019;B. Liu, 2012;Miranda & Martin, 2020;Rahab et al, 2019;Ye et al, 2017).…”