Public Sentiment on Political Campaign Using Twitter Data in 2017 Jakarta's Governor Election

Abstract

The campaign period is the time when candidates introduce themselves to the public and socialize their vision and mission. Some media, including social media, can be used as a medium for campaigning. To know the public view of political campaigns can use sentiment analysis using Twitter data. This research analyzes public sentiment toward the political campaign for candidate pair of a governor and vice governor of DKI Jakarta in 2017. We use sentiStrength, a program using the lexicon-based approach as a classification method. We classify each tweet into three classes: positive, negative, and neutral classes. The results show that, in general, positive sentiments dominates negative sentiments for each candidate for governor and vice governor. The results also show that the positive sentiments of all pairs have the same sequence as the election results.