Weka's module: removing the spam - not spam examples; therefore we are going to work with real examples taken from digital newspapers
Weka's module: real .txt files for testing "weka"

- 2 files about culture
- 2 files about sport
- 3 files about economy
- 3 files about politic
- 4 query files (1 per class)
Example under "textClassifier" folder renamed to TextClassifierExample
AvaibleCategories enumeration: deleted useless methods:

- Remove: asCategory(String) use now: Java's valueOf(String)
- Remove: avaibleCategories() use now: names()
New method in Helper: readTextFile(String filePath) which returns the content of a text file as a String
Example model file (arff file) with the 4 classes (POLITICA, ECONOMIA, CULTURA and DEPORTES)
Weka's module: finished basic integration of weka with our project. The main class is TextClassifier. Note the following:

- designed a constructor with a arff file: public TextClassifier(String pathToArffFile)
- possible to add new data: public void updateData(String text, String classValue)
- classification returns a HashMap with the complete results: public HashMap<String,Double> classifyMessage(String text)
- getters:  getNumInstances(); getNumAttributes(); getNumClasses()