Abstract
In this paper, we present methods to assess oral presentations by estimating the topic and estimating impressions the audience would have. We demonstrate that some impressions strongly depend on their syntax and contents. Moreover, we conduct an evaluation of topic classifications using latent semantic analysis (LSI), latent dirichlet allocation (LDA) and Naive Bayes classifier.
