Multi-Label Classification of Text Documents using Probabilistic Topic Modeling

In this paper, we describe an approach to multi-label classification of text documents based on probabilistic topic modeling. On the basis of SCTM-ru a topic model has been built with the help of supervised learning. A multi-label classification algorithm is presented. We propose tools for multi-label classification implementing this approach.