Study of Sentiment of Governor's Election Opinion in 2018
Agung Eddy Suryo Saputro, Khairil Anwar Notodiputro, A Indahwati · International Journal of Scientific Research in Science Engineering and Technology · 2018
In 2018, Indonesia implemented a Governor's Election which included 17 provinces. For several months before the Election, news and opinions regarding the Governor's Election were often trending topics on Twitter. This study aims to describe the results of sentiment mining and determine the best method for predicting sentiment classes. Sentiment mining is based on Lexicon. While the methods used for sentiment analysis are Naive Bayes and C5.0. The results showed that the percentage of positive sentiment in 17 provinces was greater than the negative and neutral sentiments. In addition, method C5.0 produces a better prediction than Naive Bayes.