Subset Labeled LDA for Large-Scale Multi-Label Classification

@article{Papanikolaou2017SubsetLL,
  title={Subset Labeled LDA for Large-Scale Multi-Label Classification},
  author={Yannis Papanikolaou and Grigorios Tsoumakas},
  journal={CoRR},
  year={2017},
  volume={abs/1709.05480}
}
Labeled Latent Dirichlet Allocation (LLDA) is an extension of the standard unsupervised Latent Dirichlet Allocation (LDA) algorithm, to address multi-label learning tasks. Previous work has shown it to perform in par with other state-ofthe-art multi-label methods. Nonetheless, with increasing label sets sizes LLDA encounters scalability issues. In this work… CONTINUE READING