Analyzing sports commentary in order to automatically recognize events and extract insights
This work addresses the challenge of extracting insights from sports data for analysts or fans, but it appears incremental as it applies existing NLP methods to a specific domain.
The paper tackled the problem of automatically recognizing main actions in sports events by analyzing live sports commentaries using multiple NLP techniques, and it studied whether sentiment analysis could aid in detecting these actions.
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.