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ANALISIS SENTIMEN STATUS FACEBOOK DENGAN MENGGUNAKAN METODE NAÏVE BAYES CLASSIFIER DAN LINGUISTIC

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ABSTRACT SENTIMENT ANALYSIS ON FACEBOOK STATUS OF UNAI STUDENT’S BY USING NAÏVE BAYES CLASSIFIER AND LINGUISTIC Christover Simbolon NIM: 1182007 Today, the development of social media makes every individual free to express himself on social media. Social media with 1.86 billion active users in 2016 is Facebook with daily active users of 1.23 billion. Facebook users can freely pour their opinions or emotional expression and status form. This study aims to classify sentiment of each updated Facebook status into: 1.) positive sentiment 2.) negative sentiment 3.) neutral sentiment. As for the results of study by using 500 randomly drawn data of status from social media Facebook are 87.6% is positive status, 7% negative and 5.4% neutral. Keywords: Sentiment Analysis, Naïve Bayes Classifier, Linguistic, Weka