Article
YOUTUBE COMMENT SPAM CLASSIFICATION
With the rapid growth of online video platforms, spam comments on video-sharing websites have become a major concern. Spam comments often contain advertisements, malicious links, or irrelevant content that can affect user experience and platform credibility. This project proposes a machine learning-based system to automatically classify and detect spam comments on YouTube. The system analyzes comment text using natural language processing (NLP) techniques and applies machine learning algorithms to classify comments as spam or non-spam. By training the model with labeled datasets, the system can identify patterns commonly found in spam messages. The proposed solution helps improve content quality, enhances user interaction, and reduces manual moderation efforts.
Full Text Attachment
