AI Social Listening
Master AI-powered sentiment analysis, real-time brand monitoring, emerging trend detection, and automated crisis alerts that keep your brand informed and responsive across every social channel.
Your Learning Path
Follow these lessons in order, or jump to any topic that interests you.
1. Introduction
How AI transforms social listening from keyword monitoring to deep understanding of conversations and sentiment.
2. Sentiment Analysis
NLP-powered sentiment detection across languages, sarcasm, emojis, and context-dependent expressions.
3. Brand Monitoring
Real-time brand mention tracking, logo detection, share of voice analysis, and competitor monitoring.
4. Trend Detection
AI identifies emerging trends, viral content patterns, and cultural moments before they peak.
5. Crisis Alerts
AI-powered early warning systems that detect brand crises, negative sentiment spikes, and PR risks.
6. Best Practices
Building a social listening program, actionable insights, cross-team integration, and measuring impact.
What You'll Learn
By the end of this course, you'll be able to:
Analyze Sentiment
Deploy NLP models that understand sentiment across languages, context, sarcasm, and platform-specific communication styles.
Monitor Your Brand
Track brand mentions, logo appearances, and competitive share of voice across all social platforms in real time.
Detect Trends
Identify emerging trends, viral content patterns, and cultural moments before they peak for timely engagement.
Prevent Crises
Set up AI-powered early warning systems that alert you to potential brand crises before they escalate.
Lilly Tech Systems