def get_score():
tweets = get_tweets(size = 5)
score = getSentimentScore(tweets[0].get('text'))
text = ''
text = text + str(score) + '<br>'
response = Response(text)
response.headers.add('Access-Control-Allow-Origin',"*")
return response
lenPoswords = 0
lenNegwords = 0
for term in nltk.word_tokenize(tweet):
if len(term)>2 :
if term in pos:
p = p +1
pos_words.append(term)
if term in neg :
n = n + 1
neg_words.append(term)
lenPoswords = len(pos_words)
lenNegwords = len(neg_words)
if lenPoswords >lenNegwords:
print "Positive :"
return lenPoswords
elif lenNegwords >lenPoswords:
print "Negative"
return -1*lenNegwords
else:
if lenPoswords > 0 and lenNegwords > 0 :
print "Positive :"
return lenPoswords
else :
print "Neutral "
return 0
'''
for line in tweets.find({},Fields):
print "Score : " , getSentimentScore(line.get('text'))
