YouTube Spam Comment Detection

Abstract

This project presents a successful implementation of an advanced YouTube spam comment detection system, significantly reducing spam across the platform. Utilizing NLP, machine learning, and community reporting, the system offers a dynamic approach to content moderation. The report delves into ethical considerations, highlighting the complexity of balancing spam combat with user freedom. Serving as a notable case study, it provides a valuable blueprint for addressing spam-related challenges on expanding social media platforms, enhancing the overall user experience.