R package for Twitter sentiment text analysis
If you want quick, no NLP training, headache free sentiment analysis with Twitter text/grammar in R. Try this one!
Easy to use, quick to run your own sentiment analysis of Twitter context free grammer
No additional installation of NLP components - it uses free sentiment140 service, they do vocaburay training, syntax of hash, http link etc.
No need for vacaburary building
Default language model is tuned for Twitter message, context free grammer language model_
Supported languge: English and Spanish
sentiment('I LOVE #Apple')
sentiment('I hate #Apple')
or you can just pass vector of string message
For help in R,
or any issue contact me Chris Okugami : http://www.facebook.com/christopher.okugami
Manually, training your data specific NLP recogniser
This R-blogger journal article provides you with other R package, NLP parser etc for training sentiment analyser.