f = open('../test set.txt', 'r')
from lymbix import Lymbix
lymbix = Lymbix('c6a2c5af610c650d2db35a98ab922741618b734e')
#rdata = lymbix.tonalize("My name is Paul.")
#print rdata['article_sentiment']
total = 0
count = 0
for line in f:
total += 1
tweet = line.split(' .:. ')
sentiment = tweet[0]
result = lymbix.tonalize(tweet[1])
# if sentiment == result['article_sentiment']['sentiment'].lower().replace('negative', 'neg').replace('positive', 'pos'):
# count += 1
# else:
# print total, result['article_sentiment']
score = result['article_sentiment']['score']
if abs(score) < 0.25:
sent_temp = 'neutral'
elif score > 0:
sent_temp = 'pos'
else:
sent_temp = 'neg'
if sentiment == sent_temp:
