Discovery of latent conference topics

This study applies natural language processing methods to infer new information about past conferences. Specifically, normalization algorithms, latent semantic analysis and clustering analysis was used on titles of articles in an attempt to uncover similarities between them. Thus, new sections can be discovered for repeating conferences, or new metrics may be developed