GENAI POWERED SENTIMENT ANALYSIS FOR SOCIAL MEDIA

Abstract

The “YouTube Sentiment Analysis Dashboard” is an intelligent system developed to analyze user opinions expressed in YouTube comments using Artificial Intelligence (AI), Machine Learning (ML), and Generative AI (GenAI) techniques. With the rapid growth of digital platforms, YouTube has become a major source of public interaction where users share feedback, opinions, and emotions through comments. This project focuses on extracting comments from YouTube videos and analyzing them using Natural Language Processing (NLP) techniques. The system preprocesses textual data by removing noise such as stopwords, punctuation, and irrelevant symbols. It then applies machine learning algorithms and transformer-based models to classify comments into positive, negative, and neutral sentiments. A key feature of this project is the development of an interactive dashboard using Streamlit, which visually represents sentiment distribution, trending keywords, and user engagement patterns. The dashboard enables users to understand audience reactions in real-time and make informed decisions. The system improves accuracy by leveraging GenAI models that understand context better than traditional approaches. This project demonstrates the importance of sentiment analysis in content strategy, marketing, and social media analytics.