Building Text Classifiers Using Positive and Unlabeled Examples

  title={Building Text Classifiers Using Positive and Unlabeled Examples},
  author={Bing Liu and Yang Dai and Xiaoli Li and Wee Sun Lee and Philip S. Yu},
This paper studies the problem of building text classifiers using positive and unlabeled examples. The key feature of this problem is that there is no negative example for learning. Recently, a few techniques for solving this problem were proposed in the literature. 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. In this paper, we first introduce some new methods for the two steps, and perform a… CONTINUE READING
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