The MultiRank Bootstrap Algorithm: Semi-Supervised Political Blog Classification and Ranking Using Semi-Supervised Link Classification

Authors

  • Frank Lin Carnegie Mellon University
  • William W. Cohen Carnegie Mellon University

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.

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Published

2021-09-25

How to Cite

Lin, F., & Cohen, W. (2021). The MultiRank Bootstrap Algorithm: Semi-Supervised Political Blog Classification and Ranking Using Semi-Supervised Link Classification. Proceedings of the International AAAI Conference on Web and Social Media, 2(1), 206-207. Retrieved from https://ojs.aaai.org/index.php/ICWSM/article/view/18653

Issue

Vol. 2 No. 1 (2008): Second International AAAI Conference on Weblogs and Social Media

Section

Poster Papers