<![CDATA[The development of information technology innovation has a positive impact on the media and entertainment industry, especially in the significant use of online streaming services. Vidio is one of the most popular streaming applications, providing interesting features such as watching, uploading, and sharing videos in mobile format for smartphones, tablets, and smart TVs. Vidio's strength is its ability to broadcast live television from various channels in Indonesia. While the Vidio app provides a variety of interesting features and makes it easy to use, it cannot be guaranteed that all users will be satisfied. Each app has its own advantages and disadvantages, so users may have different experiences and views. This can be seen from the reviews given by users available on the Google Play Store. This research aims to understand the sentiment of user reviews on video applications using the Naïve Bayes algorithm method. The data obtained is the result of February 2024, where there are 1500 review data. After going through the data cleaning stage, the number was reduced to 1477 review data. From the remaining dataset, there are 165 positive review data and 1312 negative review data. The research process includes data retrieval using web scraping technique, data labeling, preprocessing, and TF-IDF weighting before entering the classification stage. Classification is done by applying cross validation techniques and implementing the naive bayes method. The results of the research using the Naïve Bayes algorithm obtained an accuracy of 80.20%, a precision of 24.04%, and a recall of 35.76%.]]>
