Youtube Comment Summarizer and Post Content Analysis

This paper presents a unified approach to analyzing online discourse by leveraging advanced natural language processing techniques, focusing on both YouTube comments and Amazon reviews. We introduce a YouTube Comment Analyzer and an Amazon Review Summarizer, both employing bag-of-words analysis to unveil sentiment trends, topic dynamics, and actionable insights within user-generated content. Through the utilization of state-of-the-art machine learning algorithms, our tools categorize comments and reviews, extract key sentiments, and identify prevalent topics. By synthesizing salient features from both platforms, we offer a comprehensive understanding of user engagement, content reception, and product performance. Our findings contribute to a deeper comprehension of online discourse dynamics and provide valuable insights for content creators, marketers, businesses, and platform administrators in navigating the digital landscape effectively.