Although LDA is expressive enough to model multiple topics per document, it is not appropriate for multi-labeled corpora because, as an unsupervised model, it offers no obvious way of incorporating a supervised label set into its learning procedure.
lDA often learns some topics that are hard to interpret, and the model provides no tools for tuning the generated topics to suit an end-use application, even when time and resources exist to provide some document labels.