The multirank bootstrap algorithm: Semi-supervised political blog classification and ranking using semi-supervised link classification

18Citations
Citations of this article
15Readers
Mendeley users who have this article in their library.

Abstract

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. Copyright © 2008, Association for the Advancement of Artificial Intelligence (www.aaai.org). All rights reserved.

Cite

CITATION STYLE

APA

Lin, F., & Cohen, W. W. (2008). The multirank bootstrap algorithm: Semi-supervised political blog classification and ranking using semi-supervised link classification. In ICWSM 2008 - Proceedings of the 2nd International Conference on Weblogs and Social Media (pp. 206–207). https://doi.org/10.1609/icwsm.v2i1.18653

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free