Weka's module: fix the TextClassifierExample
Weka's module: new functionallity to TextClassifier: merge two arff files in one dataset
Remove category "economy" from examples
File Helper: new function boolean isNormalFile(File)
Added 3 constants to general MsgClassificationConstants class: POLITICS, CULTURE, SPORTS
some system.error prints in exception catching for debugging
TextClassification benchmark: culture tweets (20)
TextClassification benchmark: politic tweets (20)
TextClassification benchmark: sport tweets (20)
TextClassification benchmark: uncategorized tweets (40)
weka module: data from rss (07 / 0 5 / 2014)
Minnor rework on TextClassifier:

- visibility variable change to private (and getter used instead of "dot" access)
- added method @override toString to TextClassifier
Simple benchmark for TextClassification. Nowadays this shit is not working. The decision tree build by weka is a 4 leaves bush (Madrid => Aguirre)
From {CULTURE, POLITICS, SPORTS}  to {NEWS, SPORTS}
weka module: now using NNge classifier instead of J48
Added hits and misses count to TextClassificationBenchmark
weka module: data for 8/5/2014
weka module: merge of corpus in one document. Final corpus with manual revision added
weka module: evaluator
weka module: text classifier with 3 different classifiers.