Sentiment Analysis Of Online Lecture Opinions On Twitter Social Media Using Naive Bayes Classifier

Sentiment analysis is a depiction of polarity in a text or word. Sentiment analysis is a form of expression of an individual or group in a particular problem. Sentiment analysis basically works to group the text in a sentence or document into positive and negative forms. The Naïve Bayes Classifier is a simple probabilistic classification method that calculates a set of probabilities by adding up the frequencies and combination of values from a given dataset. In this study, the classification process is divided into two classes, namely positive and negative. From a dataset of 1004, the results obtained accuracy of 62% with 2 scenarios, namely 70:30 and 80:20.