This is a very simple R script that uses twitteR to collect tweets and display some statistics derived from them. To use it, you'll need to get a consumer_key, consumer_secret, access_token, and access_secret from Twitter. Once you've put those in the obvious place and changed the base file name (base.name) and hashtag you're searching for, you should be all set.

The score.sentiment() was copied directly from http://www.inside-r.org/howto/mining-twitter-airline-consumer-sentiment. It no longer seems to be available there, but there is a version available at https://jeffreybreen.wordpress.com/2011/07/04/twitter-text-mining-r-slides/.

The lexicon used for positive/negative sentiment scoring is from https://www.cs.uic.edu/~liub/FBS/sentiment-analysis.html.

Enjoy!