Frank Lin, William W. Cohen
We present a new semi-supervised learning algorithm for classifying political blogs in a blog network and ranking them within predicted classes. We test our algorithm on two datasets and achieve classification accuracy of 81.9% and 84.6% using only 2 seed blogs.
Subjects: 12. Machine Learning and Discovery; 1.10 Information Retrieval
Submitted: Feb 13, 2008