Visualize word networks

Another way to view word connections is to treat them as a network, similar to a social network. Word networks show term association and cohesion. A word of caution: these visuals can become very dense and hard to interpret visually.

In a network graph, the circles are called nodes and represent individual terms, while the lines connecting the circles are called edges and represent the connections between the terms.

For the over-caffeinated text miner, qdap provides a shortcut for making word networks. The word_network_plot() and word_associate() functions both make word networks easy!

The sample code constructs a word network for words associated with "Marvin".

Update the word_associate() plotting code to work with the coffee data.

Change the vector to coffee_tweets$text.
Change the match string to "barista".
Change "chardonnay" to "coffee" in the stopwords too.
Change the title to "Barista Coffee Tweet Associations" in the sample code for the plot.

Take Hint (-30 XP)

Exercise

Visualize word networks

Instructions