from senticnet.senticnet import Senticnet
sn = Senticnet()
print "polarity:", sn.polarity('love')
print "semantics:", " ".join(sn.semantics('love'))
print "\n".join([key + ": " + str(value) for key, value in sn.sentics('love').items()])
__author__ = 'cloudera'
from senticnet.senticnet import Senticnet
from textblob import TextBlob
sentence = "One of the very first Apple 1 computers, worth about 500,000, goes on sale later this month at Christie's auction house, the latest vintage tech sale."
sn = Senticnet()
concept_info = sn.concept('love')
print 'sn.concept(love) = ', concept_info
polarity = sn.polarity('love')
print 'polarity(love) = ', polarity
semantics = sn.semantics('love')
print 'semantics = ', semantics
sentics = sn.sentics('love')
print 'sentics = ', sentics
sentenceBlob = TextBlob(sentence)
print sentenceBlob.parse()
print sentenceBlob.sentiment
sentenceConcept = sn.concept(sentence)
print sentenceConcept
from senticnet.senticnet import Senticnet
sn = Senticnet()
print "polarity:", sn.polarity('love')
print "semantics:", " ".join(sn.semantics('love'))
print "\n".join(
[key + ": " + str(value) for key, value in sn.sentics('love').items()])
# print sentences
## instantiate senticnet
sn = Senticnet()
counter = 0
total = 0
words = re.compile('\w+').findall(sentences)
for word in words:
word = word.lower()
try:
print word
polarity = sn.polarity(word)
counter += 1
total += polarity
# print counter, word, polarity
except:
pass
except:
break
# Print average polarity score
avg_polarity = total / counter
print avg_polarity
total_avg_polarity += avg_polarity
# # Print the ratio between the summary length and the original length
