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.
Robert Thornton
Distinguished Professor of Data Analytics & Intelligence
PhD (Stanford Statistics), MS (MIT CSAIL), Ex-Amazon/Netflix Head of Data Science
or 4,900 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+ minUnderstanding sentiment measurement and its business impact
The What The Positioning The Portfolio Introduction GEO The API AI AI-First Content Modern Social Email Paid Introduction Sentiment Core Concept Fundamentals
Building essential knowledge of fundamental principles and methodologies in the ai-native brand paradigm.
- Understand core principles and theories
- Apply foundational frameworks correctly
- Build knowledge progressively
- Connect concepts to practical applications
Practical Application Essentials
Translating theoretical knowledge into actionable brand strategies.
- Connect theory to practice
- Identify application opportunities
- Execute implementations effectively
- Measure application outcomes
Lecture · Chapter 1 of 5
Sentiment Analysis Fundamentals
Sentiment Analysis Fundamentals
This lesson is Sentiment Analysis Fundamentals. Understanding sentiment measurement and its business impact
Optional: render an on-demand high-definition instructor video
On-demand render \u00b7 photoreal instructor \u00b7 synchronized narration \u00b7 charged at per-use Credits when enabled.
Course Project
Brand Sentiment Report
Create a comprehensive sentiment analysis report
Prerequisites
- Basic analytics knowledge
Topics Covered
Your Instructor
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
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