Wrote a basic parser to handle tagged reviews, basic POS tagger.
Renamed variables for clarity.
Clean output from parsed corpus now saved in data/clean folder
Fixed parse.py outputting of cleaned text.
Added a basic classifer training framework.
Tabs to spaces, pep8 style fixes
Added word sentiment dictionary and util file for unserializing it.
Added basic sentiment features
Tagged data now uses sum of sentence feature sentiments
classify.py now tests against holdout data
We now build ngram sentiment dictionaries for phrases found in the test data
Add noun phrase extraction
Code generation of up to 5-gram scoring
Merge branch 'master' of github.com:ramatevish/info256-proj1
Added basic noun-phrase dictionary
Removed main statement for tagger
Merge branch 'master' of github.com:ramatevish/classifynames