The article compares two methods, Naive Bayes and Decision tree, to analyze public sentiment towards the services of PT PLN, an Indonesian electricity company. By analyzing over 40,000 tweets, the researchers found that Naive Bayes had higher accuracy in classifying sentiments compared to Decision tree. The majority of tweets expressed negative sentiments, particularly complaints about response to issues and damage handling by the company.