Added naive bayes classifier, and modified other parts of the logic classes to reflect that.
added ~1500 lines of training data of naive bayes classifier to the repository.
created common interface for the classifiers.
added hashcode & equals on string.
Added CoTrainer class to make the classifiers work together easier.
Updated gui with the different classifiers. Now they are selectable, and if both are selected the list of uncertain tweets pops up. it gets saved and on the next start of the program the user-labeled tweets gets used by Naive Bayes
the file where the program writes the user labeled tweets.