GitHub - matteoredaelli/twitter-r-utils: Twitter R utils

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Name	Name	Last commit message	Last commit date
Latest commit Matteo Redaelli added sentimental analysis functions Feb 12, 2012 be1803b · Feb 12, 2012 History 6 Commits
output	output	added sentimental analysis functions	Feb 12, 2012
web	web	added sentimental analysis functions	Feb 12, 2012
README	README	added sentimental analysis functions	Feb 12, 2012
negative-words.txt	negative-words.txt	added sentimental analysis functions	Feb 12, 2012
positive-words.txt	positive-words.txt	added sentimental analysis functions	Feb 12, 2012
tweets-cluster.R	tweets-cluster.R	updated licenses	Aug 9, 2011
tweets-fetch.R	tweets-fetch.R	updated licenses	Aug 9, 2011
tweets-normalize.R	tweets-normalize.R	updated licenses	Aug 9, 2011
tweets-wordcloud.R	tweets-wordcloud.R	updated licenses	Aug 9, 2011
twitter-sentiments.R	twitter-sentiments.R	added sentimental analysis functions	Feb 12, 2012
twitter-util.R	twitter-util.R	added sentimental analysis functions	Feb 12, 2012

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Matteo DOT Redaelli AT gmail DOT com
http://www.redaelli.org/matteo/

Code and suggestions from http://www.inside-r.org/howto/mining-twitter-airline-consumer-sentiment

Hu and Liu’s “opinion lexicon” categorizes nearly 6,800 words as positive or negative and were downloaded from Bing Liu’s web site: http://www.cs.uic.edu/~liub/FBS/opinion-lexicon-English.rar