Modeling Moods in BBC Programs Based on Emotional Context

摘要

The increasing amounts of streaming and downloadable media becoming available in converged digital broadcast and next generation mobile broadband networks will require intelligent interfaces capable of personalizing the selection of content according to user preferences and moods. We propose an approach to automatically generate atmosphere-like metadata from BBC synopsis descriptions, by applying LSA latent semantic analysis to define the degree of similarity between textual program descriptions and emotional tags in a semantic space.