Projects Category: Data Analytics

This project analyzes the sentiment of video titles on Valuetainment’s YouTube channel to assess whether the content aligns with the mission of “enlightening, entertaining, and empowering current and future leaders around the world.” By categorizing video titles as positive, neutral, or negative and examining their interaction rates (likes and views), the analysis reveals that both positive and negative sentiments correlate positively with interaction, indicating that sentiment does not significantly affect video popularity. Additionally, the content is predominantly focused on education, business, and entertainment, suggesting that Valuetainment effectively aligns its content strategy with its mission

Tools 🛠️

• GPT-4o
• Python (to utilize YouTube API to fetch and process data)
• YouTube API (data)
• Google Looker (visualization)