Analysis Sentiment of President Vladimir Putin on Twitter Social Media Using Multinomial Algorithm and Bernoulli

Sentiment analysis is one of the most critical factors influencing people's perspectives when judging a person's appearance or character. Russian President Vladimir Putin is one of the world's most powerful figures. Since the conflict between Russia and Ukraine, many people have been drawn to the figure of Vladimir Putin. The opinion that develops in the community about Vladimir Putin is both positive and negative sentiments. Many people have an opinion about using social media. Social media that is often used by people is Twitter. Opinions contained on Twitter can be used to assess the public image of figures by using sentiment analysis techniques. Data was retrieved from Twitter data with the keywords “Vladimir Putin” and search “Presiden Rusia” which is used to filter data taken from Twitter and to limit the data taken from as many as 1600 data sets. The method used in this study is multinomial Nave Bayes with Bernoulli Naïve Bayes. This study will compare the level of accuracy between the two. From the results of testing and this research, the value of the multinomial Nave Bayes algorithm gets an accuracy rate of 76%, while the Bernoulli algorithm gets an accuracy rate of 74%.