Feature set 1, quick-n-dirty

reads all .txt files containing customer reviews from goodreads and amazon.  Currently sends text to Stanford's POS tagger and then identifies all sentences containing patterns (1)adv adv adj or (2)adv adj or (3)adv vrb.  Will be transitioning to Stanford CoreNLP instead of POS tagger.


Files must be in the following format:

1. Contain the filename of the running script in the first line (eg):
formatted for search2.pl

2. first line of each review must be a metadata line:
Number, Username, ddmmyyyy, rating, gender, location, Title(or categories), URL
eg: 1, O'Boy, 01112013, 4/5, M, Galway, A Total Snoozer, http://www.amazon.com/review/55555