We also applied our method to text classification on the del.icio.us dataset, where the documents are naturally multiply labeled (more than 89%) and where the tags are less inherently similar than in the Yahoo subcategories.
we expect Labeled LDA to do better credit assignment on this subset and consequently to show improved performance as a classifier, and indeed this is the case.