多秩自举算法:基于半监督链接分类的自监督政治博客分类与排名

Proceedings of the International AAAI Conference on Web and Social Media Pub Date : 2021-09-25 DOI:10.1609/icwsm.v2i1.18653

Frank Lin, William W. Cohen

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引用次数: 25

摘要

我们提出了一种新的半监督学习算法，用于对博客网络中的政治博客进行分类，并在预测的类别中对其进行排名。我们在两个数据集上测试了我们的算法，仅使用2个种子博客就实现了81.9%和84.6%的分类准确率。

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

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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Proceedings of the International AAAI Conference on Web and Social Media

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