ignoring unpolarized words file, it has a potential to become quite big.
moved sentiment classification to classification
adde method for finding a word in all the dictionaries. converted all terms to lower case to keep consistency.
added polarity dictionary to the tweet object
read half an article. and written about it in the article section. It was quite useful. A lot of new thoughts came of it
journal update with todays work
test runner for testing classification.
cleanup