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Twitter R utils
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output
web
README
negative-words.txt
positive-words.txt
tweets-cluster.R
tweets-fetch.R
tweets-normalize.R
tweets-wordcloud.R
twitter-sentiments.R
twitter-util.R

README

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
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