ML Article Appeal Prediction
completedSpring 2025
Sponsor
Forbes gold
Media & Publishing
Problem & Approach
Resume Bullet Refinement
- Analyzed how headlines, metadata, subject matter, vocabulary, writing style, media usage, and publication timing influence article appeal, and built machine learning and NLP-based predictive models to forecast reader engagement.
Technology Stack
Machine LearningNLPData AnalyticsPublishing
Team
Member 1 Team Lead
Member 2 Developer
Member 3 Developer
Member 4 Developer
Outcome & Impact
87% prediction accuracy achieved for article reader engagement.
Testimonials
"The ML Article Appeal Prediction model achieved 87% accuracy in forecasting reader engagement — a tool that has real potential to inform our editorial strategy going forward."