import os
import sys
sys.path.append(os.path.realpath('../../'))
import twittercriteria as twc
sentiments = ['angry', 'fearful', 'calm', 'excited', 'sad', 'positive', 'negative', 'neutral']
for s in sentiments:
tweets = []
with open(s + 'Training.txt') as infile:
for line in infile:
line.rstrip('\n')
tweets.append(twc.cleanForSentiment(line))
with open(s + 'Not.txt', 'w') as out:
out.write('\n'.join(tweets))
positive = []
calm = []
negative = []
neutral = []
relevant = []
irrelevant = []
sents = ['c', 'e', 'a', 'f', 's', 'p', 'n', 'u', 'o']
rels = ['r', 'i', 'n']
with open(name + "_" + str(num) + ".txt", "r") as inFile:
for tweet in inFile:
tweet = tweet.rstrip('\n')
print tweet
tweet = twc.cleanForSentiment(tweet)
sentiment = ''
while (not sentiment in sents):
sentiment = raw_input("Enter the tweets sentiment: (c-alm, e-xcited, a-angry, f-earful, s-ad, p-ositive, n-egative, u-neutral, or o-ther (not English)): ")
if sentiment != "":
sentiment = sentiment.lower()[0]
else:
sentiment = ''
if sentiment == 'c':
calm.append(tweet)
elif sentiment == 'a':
angry.append(tweet)
elif sentiment == 'f':
fearful.append(tweet)
elif sentiment == 's':
def classify(self, tweet_text):
return self.classifier.classify(self.extractFeatures(twc.cleanForSentiment(tweet_text).split()))
