CLASSIFICATION OF WEB PAGES IN YIOOP WITH ACTIVE LEARNING
This thesis project augments the Yioop search engine with a general facility for automatically assigning meta words (e.g. advertising) to web pages based on the output of a logistic regression text classifier. Users can create multiple classifers using Yioop's web-based interface, each trained first on a small set of labeled documents drawn from previous crawls, then improved over repeated rounds of active learning.
Tice, Shawn C., "CLASSIFICATION OF WEB PAGES IN YIOOP WITH ACTIVE LEARNING" (2013). Master's Projects. 297.