RapidMiner Sentiment Analysis

I have a collection of short messages classified as positive or negative which is saved in an ARFF file genereated in WEKA. I would like to move this data to RapidMiner for classification and processing purposes.

Being a complete newbie in RapidMiner do开发者_如何转开发es anyone have examples on how to build a classifier for these messages. The messages are in one file in the format:

"MSG 1 TEXT", categoryX
"MSG 2 TXT", categoryX

Thanks!

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Lots of rapidminer videos here:

http://www.youtube.com/user/VancouverData?ob=0&feature=results_main

There is a series on text mining