The COVID-19 pandemic in Indonesia has had a major impact on the education sector. Where currently must adapt the distance learning model. There are pros and cons to public opinion on social media Twitter about the influence of online learning on learning motivation. The study aims to find out if public opinion is positive or negative and to find out which classification algorithms have the highest and best accuracy rates. The data used was tweets in Indonesian with the keywords "online learning", "distance learning" and "motivational learning". With a data set of 455 tweets. Classification uses Naive Bayes classification algorithms and supports vector machines by preprocessing data using tokenize, transform case, filtering, and stemming. The highest and best accuracy result is classification algorithm support vector machine with accuracy 97.22%, precision 94.72%, recall 100%, and error 2.78%.
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