May cohort is now open: How to secure your spot:

Sentiment Classification Using scikit-learn

Sentiment Classification Using scikit-learn

Sentiment Classification Using scikit-learn

Facebook users produce millions of pieces of text content every day. Text content such as status updates and comments tell us a lot about how people feel on a daily basis and how people feel about the web of things.

In this talk, we discuss a system based on scikit-learn and the Python scientific computing ecosystem that describes and models positive and negative sentiments of user-generated content on Facebook. Unlike more traditional polarized word counting methodologies, our system trains machine learning classifiers using naturally labeled data to achieve high accuracy.