Naive Bayes Performance in Analysis of Public Opinion Sentiment Against COVID-19

The huge impact caused by the COVID-19 pandemic has made many people express their opinions on Twitter social media. There are various responses given community that negative and positive. dataset comes from kaggle with more than 750 tweets of data. Classification designed Naive Bayes method. Implementation through preprocessing, case folding, tokenizing, stopword removal, TF-IDF, cross validation been able to produce quite high accuracy. After classification, will be carried out Cross Fold Validation. best value is cv5 where accuracy = 0.847, precision 0.855, recall 0.83, f1 score 0.842.