The MultiRank Bootstrap Algorithm: Semi-Supervised Political Blog Classification and Ranking Using Semi-Supervised Link Classification
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.
Downloads
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
Section
Poster Papers