Analyzing sports commentary in order to automatically recognize events and extract insights

TL;DR

This paper explores the use of various NLP techniques to automatically identify key sports events and extract insights from live commentaries, including the potential role of sentiment analysis.

Contribution

It introduces a comprehensive approach combining multiple NLP methods to classify sports actions and assess sentiment's usefulness in event detection.

Findings

NLP techniques can effectively recognize sports actions from commentaries

Sentiment analysis may enhance event detection accuracy

Different sources provide diverse insights into sports events

Abstract

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.