After laying the groundwork for a few weeks, we can finally start to do some textual analysis and fancy visualization! We will cover the following contents:
Recap on news database scraping: how to have R automatically go through multiple .rtf files, scrape information in those files, and store them in a large R data frame.
Plot news article timeline (grouped by sources)
Check keywords and key phrases in context
Plot keyword frequencies by date
Make some pretty word clouds
Analyze and plot sentiments
Feel free to attempt the tasks yourself with this dataset!