Big data encompasses social networking websites including Twitter as popular micro-blogging social media platform for a political campaign. The explosive Twitter data as a respond of the political campaign can be used to predict the Presidential election as has been conducted to predict the political election in several countries such as US, UK, Spain, and French. The authors use tweets from President Candidates of Indonesia (Jokowi and Prabowo), and tweets from relevant hashtags for sentiment analysis gathered from March to July 2018 to predict Indonesian Presidential election result. The authors make an algorithm and method to count important data, top words and train the model and predict the polarity of the sentiment. The experimental result is produced by using R language and show that Jokowi leads the current election prediction. This prediction result is corresponding to four survey institutes in Indonesia that proved our method had produced reliable prediction results.

中文翻译：

---

使用情绪分析从Twitter预测和分析印度尼西亚总统大选

大数据涵盖了社交网络网站，其中包括Twitter，这是政治活动的流行微博客社交媒体平台。Twitter爆炸性的数据是对政治运动的回应，可以用来预测总统选举，就像在美国，英国，西班牙和法国等几个国家预测政治选举所进行的那样。作者使用来自印度尼西亚总统候选人（Jokowi和Prabowo）的推文以及来自相关主题标签的推文进行情感分析，以分析2018年3月至2018年7月收集的印尼总统选举结果。作者提出了一种算法和方法，可以对重要数据，热门单词进行计数，并对模型进行训练并预测情绪的极性。实验结果是使用R语言产生的，表明Jokowi领导了当前的选举预测。