Sentiment Analysis and AI
Understanding brand perception
Master AI-powered sentiment analysis to understand how audiences perceive your brand. Learn to monitor, analyze, and respond to brand sentiment at scale. This course covers sentiment taxonomy, NLP techniques, real-time monitoring, and action frameworks.
Prof. Robert Thornton
Distinguished Professor of Data Analytics & Intelligence
PhD (Stanford Statistics), MS (MIT CSAIL), Ex-Amazon/Netflix Head of Data Science
or 1,998,000 credits
Plan: professional
What You'll Learn
Master sentiment analysis techniques
Build AI-powered monitoring systems
Turn sentiment into actionable insights
Detect crises through sentiment monitoring
Course Curriculum
5 chapters · 270+ minSentiment Analysis Fundamentals
50mUnderstanding sentiment measurement and its business impact
AI Sentiment Tools
65mUsing machine learning for automated sentiment analysis
Real-Time Monitoring
55mBuilding sentiment dashboards for continuous brand tracking
Actionable Insights
50mTurning sentiment data into strategic recommendations
Crisis Detection
50mIdentifying sentiment shifts that signal brand threats
Course Project
Brand Sentiment Report
Create a comprehensive sentiment analysis report
Prerequisites
- Basic analytics knowledge
Topics Covered
Your Instructor
Prof. Robert Thornton
Distinguished
Former Netflix Head of Data Science who built recommendation systems serving 200M+ users. Creator of the RICE+ analytics framework — the definitive methodology for quantifying brand health through AI-driven metrics.
13
Courses
20K
Students
4.9
Rating
Academy at a Glance
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