This project is a comprehensive NLP (Natural Language Processing) tool built to extract and analyze audience sentiment from YouTube comments. By simply inputting a YouTube video URL, the system utilizes the YouTube Data API to fetch hundreds of user comments automatically. It then processes the text data using machine learning models to classify the general sentiment (positive, negative, or neutral) of each comment. Beyond simple data processing, the project features a rich, interactive web dashboard tailored for easy data exploration. It provides insightful visualizations, including sentiment distribution charts (pie and bar charts), top keyword extraction, and dynamic word clouds that adapt to specific sentiment labels. This tool is highly valuable for extracting actionable insights, understanding public reaction, and summarizing large volumes of unstructured audience feedback.