Statistical topic models for multi-label document classification

Machine learning approaches to multi-label document classification have to date largely relied on discriminative modeling techniques such as support vector machines. A聽drawback of these approaches is that performance rapidly drops off as the total number of labels and the number of labels per document increase. This problem is amplified w...More