NBA Finals Game 6: Network Graph Analysis
One of the most useful ways to deploy Natural Language Processing at the moment is to uncover meaningful structure within unstructured text. While we’re nowhere near true machine comprehension of text, in this series of posts applying NLP to tweets about the NBA Finals, we’ve demonstrated a variety of techniques to extract meaningful data from text: sentiment analysis, topic clustering, numerical analysis of trends, time series analysis, etc. In this post, we want to look at another kind of structure we can often pull from text: the network graph represented by co-mentions of players & coaches.