UGANDA YOUTUBE CONTENT SENTIMENT ANALYSIS

POWERED BY GANDA GEMMA

By Crane AI Labs

Comprehensive Analysis of 536 Sampled YouTube Comments

Model Performance: 79.1% Positive Sentiment Detection | Kirungi:Kibi Ratio 3.79:1
Category Performance Matrix
Bubble size = Total Engagement | X-axis = Positivity Rate | Y-axis = Volume
📊 Key Insights
🎭 Comedy & Lifestyle: Highest positivity (94.3%) but moderate volume
🏆 Sports & Events: Best balance of volume (154 comments) and positivity (81.2%)
🎵 Music & Entertainment: Strong performance across all metrics
⚠️ Politics: Critical situation - 74.1% negative sentiment
Channel Performance Dashboard
Multi-metric performance analysis by channel
96.2
Top Score (KWEZI)
21.3%
Crisis Channel (Ug Wolokoso)
3
Excellent Performers
2
Need Immediate Help
Sentiment vs Engagement Flow
How sentiment translates to engagement levels
🌊 Flow Analysis
📈 Positive comments get 1.64x more engagement than negative
📊 No strong statistical correlation (r=0.060, p=0.165)
💡 Content quality matters more than just sentiment
Language Mixing Impact on Sentiment
English vs Luganda usage patterns and audience reception
🗣️ Language Insights
🇬🇧 Pure English dominates (53.7%) with high positivity (84.7%)
🇺🇬 Pure Luganda shows mixed reception (53.6% positive)
🔄 Balanced mixing performs well (80% positive)
Content Theme Performance Radar
Volume vs Positivity across key themes
🎯 Theme Strategy
🙏 Religion leads in both volume (15.1%) and positivity (87.7%)
🎵 Entertainment shows strong balance (12.5% volume, 94% positive)
🏛️ Politics is high-risk (2.8% volume, 53.3% positive)
ROI Priority Matrix
Investment decisions based on ROI and growth potential
💰 Investment Strategy
🏆 Sports & Events: Best ROI ($0.55/piece) with high volume
🎵 Music: Strong ROI ($0.54/piece) - scale opportunity
⚠️ Politics: Low ROI ($0.20/piece) - optimize or divest