Sentiment Analysis using Sentiwordnet and Machine Learning Approach (Indonesia general election opinion from the twitter content)

摘要: The computational process of identifying and categorizing opinions that are expressed in the piece text could be employed to determine information insight writer's opinion toward a particular topic. Most sentiment analysis for English text. Contrarily, plethora method has been reported task stayed an interesting question Indonesian invention machine learning models broad accessibility Twitter data on previous years have derived many researchers take model resolve problem. objective this study is build using Sentiwordnet Indonesia general election from twitter content. tweet was taken namely, username, itself. theme topic related 2019 figures, namely Joko Widodo Prabowo Subianto. period collection November 13, 2018, January 11, 2019, during campaign period. language. result revealed with Naive Bayes classification showed 74.94% accuracy topic, while 71.37%