Quick Overview
Rotten Tomatoes leverages machine learning and NLP to analyze millions of user reviews, automatically assigning audience scores for movies. This creates a data-driven, efficient, and scalable scoring system that reflects real-time viewer sentiment.
Rotten Tomatoes
Company Size
~350 employees (Fandango)
Revenue Range
Not publicly disclosed
Primary Challenge
Efficiently and accurately aggregating audience sentiment across massive review volumes
Key Metrics
\- Automated audience score generation\- Real-time updates\- Increased trust in ratings
The Problem
Manual review aggregation was slow, subjective, and unable to keep up with high review volumes
The Solution
Developed ML and NLP models to process and analyze user-generated reviews, extracting sentiment and assigning scores automatically
Results
\- Data-driven, scalable scoring\- Faster, more accurate ratings\- Improved audience trust
Details
Industry
Media & Entertainment
Departments
Data & Analytics
Use Cases
Data Analysis
Tags
Machine Learning
NLP
AI Tools Used
No items found.
Sources
https://2immersive4u.com/2024/10/09/how-ai-is-used-by-rotten-tomatoes-to-create-comprehensive-ratings-stories-about-ai/
More Case Studies
See All
How Endel Uses AI to Generate Personalized Soundscapes and Adaptive Music
Media & Entertainment
How Medline Uses Zendesk AI Bots to Manage Over 800,000 Tickets Annually and Boost Agent Productivity
Healthcare & Medical
How CrowdStrike Falcon Uses AI and Behavioral Analytics for Proactive Cyber Threat Prevention
Technology & SaaS
How Litslink Uses AI-Driven Personalized Learning and Virtual Simulations to Enhance Medical Staff Training
Healthcare & Medical
How Vodafone Uses TOBi AI Chatbot to Revolutionize Customer Service and Reduce Response Times
Professional Services & Consulting
How Johnson & Johnson Reduced Absenteeism by 20% with AI Health Analytics
Healthcare & Medical