gistfile1.py

from sussex_nltk.stats import evaluate_wordlist_classifier
from sussex_nltk.corpus_readers import AmazonReviewCorpusReader

#Create a new classifier with your words lists
book_classifier = SimpleClassifier(positive_book_words_list, negative_book_words_list)

#Evaluate classifier
#The function requires three arguments:
# 1. Word list based classifer
# 2. A list (or generator) of positive AmazonReview objects
# 3. A list (or generator) of negative AmazonReview objects
accuracy = evaluate_wordlist_classifier(book_classifier, pos_testing_data, neg_testing_data)  
print accuracy