Spam ∅ is a spam detection tool for YouTube that utilizes a Naive Bayes Classifier Algorithm and the YouTube Data API. Developed by the students of Bicol University, this browser extension allows users to collect comments from the YouTube platform and analyze them for spam.

The extension integrates a machine learning model that has been trained on a dataset of comments scraped from popular channels such as Linus Tech Tips and PewDiePie. These comments were manually labeled as spam or ham based on a set of criteria to determine what constitutes a spam comment. The Naive Bayes Algorithm then uses this labeled data to classify new comments as either spam or not.

To ensure the accuracy of the model, evaluation metrics such as Accuracy, Recall, Precision, and F1 Score were used. The dataset was carefully curated to achieve a high score in these metrics, resulting in a reliable and accurate spam detection model.

With Spam ∅, YouTube users can now have an effective tool to filter out spam comments and enhance their browsing experience. This free browser extension is available on the Chrome platform.