How Oracle Uses CrowdFlower For Sentiment Analysis

Download the presentation from our recent webinar and learn how Oracle uses CrowdFlower to train and perfect Machine Learning algorithms to build sentiment & other models that classify text.

Don't just hunt for keywords. Leverage the world's largest 24/7 labor pool to uncover real, actionable insights

Identify trends and crises early so you can adapt and grow

Save time and money by using a crowd of millions to clean and enrich your data

What is CrowdFlower People-Powered Sentiment Analysis?

People talking about your brand is one thing. Understanding what they're saying is a different story altogether. CrowdFlower's people-powered sentiment succeeds where automated solutions like NLP fail. Here's how:

Set it and forget it: With a global pool of millions of contributors, your job gets completed quickly no matter when you start it.

Dig Deeper: Leverage a fluent, professional contributor base who understand concepts that automated solutions simply can't.

Analyze and React: Download enriched data to uncover what people actually think about your brand.