CLASSIFICATION OF WEB PAGES IN YIOOP WITH ACTIVE LEARNING

Author

Shawn C. Tice, San Jose State University

Publication Date

Spring 2013

Degree Type

Master's Project

Degree Name

Master of Science (MS)

Department

Computer Science

Abstract

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.

Recommended Citation

Tice, Shawn C., "CLASSIFICATION OF WEB PAGES IN YIOOP WITH ACTIVE LEARNING" (2013). Master's Projects. 297.
DOI: https://doi.org/10.31979/etd.9k97-javx
https://scholarworks.sjsu.edu/etd_projects/297