• DOI:10.1109/ICDM.2003.1250918
Corpus ID: 371647

Building text classifiers using positive and unlabeled examples

@article{Liu2003BuildingTC,
  title={Building text classifiers using positive and unlabeled examples},
  author={B. Liu and Yang Dai and Xiaoli Li and Wee Sun Lee and Philip S. Yu},
  journal={Third IEEE International Conference on Data Mining},
  year={2003},
  pages={179-186}
}

• B. Liu, Yang Dai, +2 authors Philip S. Yu
• Published 2003
• Computer Science
• Third IEEE International Conference on Data Mining

We study the problem of building text classifiers using positive and unlabeled examples. [...] Key Method These techniques are based on the same idea, which builds a classifier in two steps. Each existing technique uses a different method for each step. We first introduce some new methods for the two steps, and perform a comprehensive evaluation of all possible combinations of methods of the two steps. We then propose a more principled approach to solving the problem based on a biased formulation of SVM, and…Expand