Sentiment Analysis of Youtube Comments 

In this video, we dive into sentiment analysis using Python's powerful libraries! We will use the VADER (Valence Aware Dictionary and sentiment Reasoner) sentiment analysis tool to analyze a set of comments or textual data. Watch as we walk through step-by-step on how to load a CSV file, apply sentiment scoring, and visualize the results using Python’s Pandas, Matplotlib, and Seaborn libraries.
What you will learn:
Importing and analyzing a CSV file containing text comments.
Applying sentiment analysis using VADER.
Plotting sentiment scores using Seaborn and Matplotlib.
How to label charts with accurate data points for better visual understanding.
Whether you're new to Python or looking to expand your data science skills, this tutorial will help you master sentiment analysis and data visualization!