An attempt is made to make a MoodMap of the United States from a random daily sample of twitter tweets. The mood of each tweet is estimated using the AFINN-111.txt dictionary. Much of this project builds on a course project offered through by Bill Howe of the University of Washington through Coursera. My contribution is in figuring out how to get the data on a map, and wrap the whole thing in a Shiny App
ehullander/TwitterMoodMap
Plot mean sentiment of Twitter tweets over time by region on a map of the US to create a "Mood Weather Map"
R