  In this paper, we carefully investigate how we can use multiple different
Natural Language Processing techniques and methods in order to automatically
recognize the main actions in sports events. We aim to extract insights by
analyzing live sport commentaries from different sources and by classifying
these major actions into different categories. We also study if sentiment
analysis could help detect these main actions.
