Twitter sentiment for airlines during hurricane Sandy

My students used Twitter feeds & R (twitteR package, ggplot) to produce sentiment distributions for six American carriers at 2:00pm on Tuesday 30-Oct.

Higher scores are “better” sentiment (happier customers).

This particular graph only used 1000 tweets per airline. We started with this tutorial.

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