We combine a variety of classifiers whose features encode the words and technical terms in the description of funded grants as well as Latent Dirichlet Allocation (LDA) topics.
for each research topic we train five classification models based on Support Vector Machines (SVMs) that employ as features different combinations of words, techincal terms, LDA topics (Blei et al., 2003) and link LDA topics (Erosheva et al., 2004).