Analyzing YouTube Comment Sentiment with Python
· 4 min read
Analyzing the "vibe" of a YouTube comment section is a fantastic way to use Python for data science. Since yt-dlp doesn't always handle large-scale comment scraping easily, we'll use the YouTube Data API v3 (the official way) and the TextBlob library to perform the sentiment analysis.
This script will tell you if the first 100 commenters are mostly happy, angry, or neutral.