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

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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.

Authors

Frank Lin,William Cohen

Carnegie Mellon University,Carnegie Mellon University


DOI:

10.1609/icwsm.v2i1.18653