Track 2 · SPC Academy

Analyzing Online Reviews with AI

The methods track: how to take online review data and get a defensible answer out of it, for a journal submission or for a Monday decision. Every method is run on the same review data, in Colab, with the code given to you. No prior econometrics assumed, and nothing is asserted that the data cannot carry.

14lessons, three parts 114 minof lecture 55hands-on activities 14analyses you keep

Jeong-Yeol Park, Ph.D. · Chapter 1 and the mini-project are open now. The remaining 12 unlock with enrollment.

0 of 2 lessons complete Progress is stored on this device only. Your written work lives in the notebook.

Part I 0 / 2 COMPLETE

Foundations

What review data actually is, where it comes from, what it hides, and how to set up a working environment before you analyze anything.

01Introduction: Why Reviews Demand an Integrated FrameworkYour Research Question and Method Map7:38Not started

02Understanding Online Review Data: Anatomy, Platforms, and Data QualityYour Data Provenance And Bias Audit8:04Locked

03Getting Started with Google Colab and Gemini: Your AI Research EnvironmentYour Verified First Notebook8:15Locked

04Thinking Like a Data Analyst Before Analyzing TextYour Analysis Plan and Readiness Report7:13Locked

MPMini-Project: Analyze 500 Reviews in 30 MinutesYour Thirty-Minute Analysis Notebook and Brief6:13Not started

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Part II 7 CHAPTERS

The Methods

One chapter per method, each on the same review data: text to numbers, panel regression, causal inference, forecasting, space, theory testing, and prediction.

05From Text to Numbers: Extracting Themes, Sentiment, and StructureYour Validated Feature Table And Measurement Memo8:21Locked

06Panel Regression with Integrated FeaturesYour Fixed-Effects Result Card9:05Locked

07Causal Inference with Review DataYour Identification Memo9:11Locked

08Time-Series Analysis and Forecasting: Using Review Streams as Leading IndicatorsYour Forecast Scorecard and Monitoring Log8:03Locked

09Spatial Econometric Models and Visualization: Mapping the Geography of Consumer ExperienceYour Spatial Diagnostic Report and Two Panel Map8:43Locked

10Structural Equation Modeling for Theory Testing: Bridging Big Data and Behavioral TheoryYour Specified Model and Its Measurement Defense9:05Locked

11Machine Learning for Prediction: From Understanding to Forecasting OutcomesYour Churn Model Card and Threshold Decision8:38Locked

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Part III 2 CHAPTERS

Synthesis

Whole analyses end to end, and an honest read on what this field can and cannot yet do.

12Case Studies: Integrated Analysis in ActionYour Integrated Case Memo and Fork Trace7:49Locked

13Where Review Analytics Is HeadingYour Revised Method Map and Governance Standard7:43Locked

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Track 1 · 16 chapters, four phases

The AI Advantage

The operator track: what these tools do, what your own data already says, and how to get a decision out of it. Starts from zero, no coding assumed, and every chapter ends with something you can use.

AVAILABLE NOW

1The Opportunity: How AI Is Reshaping HRT2The AI Landscape: Tools, Interfaces, and What They Actually Do3Hard Skills for Working with AI4Your HRT Data Universe5AI-Powered Data Analysis in Action6The Human Element: Emotional Intelligence and Customer Touchpoints7From Numbers to Narrative8Visual Intelligence9Operational Dashboards That Actually Get Used10The Guest Story11Data-Driven Pricing and Revenue Strategy12Pitching with Data13Competitive Intelligence and Market Positioning14AI-Generated Content and the New Marketing15Building a Data Culture in Your Organization16Capstone: Your Data Storytelling Playbook