new preprocessing style and new features
new feature is the comparison to a negative and positive word list
updated tests and tracked down some bugs
a lot of the tags are now gone and are separately saved in a new feature map that was added to the tweet class.
added sentiment field to the tweet
added WekaUtils class that manges the advanced loading of trainingdata
updated TrainingDataPreprocessor with more import methods
Merge remote-tracking branch 'remotes/origin/master' into experimentalPreprocessing

Conflicts:
	src/main/java/at/tuwien/aic/tweetanalysis/TweetAnalysis.java
	src/main/java/at/tuwien/aic/tweetanalysis/provider/TweetProvider.java
added new models and methods for loading and processing them
also integrated the new models in the command line
added option for debug flag: "d" als filter prints debug info. "d+" even more
updated models and preprocessing + bug fixes + more
there are now several models available and we can switch between them in the live command line via the new "load" command
also added "classify" command to rund the classifier against a given text
changed some preprocessing + added abbreviations matching. now we replace WTF or OMG
updated tests
added the tweets.csv file that was used for creating the models.
note that I removed the attributes "MENTION" and "URL" because they had way too much influence
test classifier against given tweets
added new preprocess method
test classifier against given tweets - added command
bug fix. added sentiment in the test
changed initial classifier to classifier without smilies.
more detailed test output
merge and name changes ;)