def opinion_lexicon_features(phrase):
features = {}
# TODO - Maybe do % positive, rather than num_positive
# Count number of positive, negative, and neutral labels there are
Opi_sentiments = defaultdict(lambda:0)
for word in phrase:
label = lexOpi.lookup(word)
Opi_sentiments[label] += 1
for sentiment,count in Opi_sentiments.items():
if sentiment == '': continue
features[ 'Opi-%s_count' % sentiment ] = count
return features
def opinion_lexicon_features(phrase):
features = {}
# TODO - Maybe do % positive, rather than num_positive
# Count number of positive, negative, and neutral labels there are
Opi_sentiments = defaultdict(lambda: 0)
for word in phrase:
label = lexOpi.lookup(word)
Opi_sentiments[label] += 1
for sentiment, count in Opi_sentiments.items():
if sentiment == '': continue
features['Opi-%s_count' % sentiment] = count
return features
def opinion_lexicon_features(phrase):
features = {}
# Count number of positive, negative, and neutral labels there are
Opi_sentiments = defaultdict(lambda: 0)
for word in phrase:
negated = ('_neg' in word)
if negated: word = word[:-4]
label = lexOpi.lookup(word)
if label != 'neutral':
if negated:
if label == 'positive':
label = 'negative'
else:
label = 'positive'
Opi_sentiments[label] += 1
for sentiment, count in Opi_sentiments.items():
if sentiment == '': continue
features[('Opi-count', sentiment)] = count
return features
def opinion_lexicon_features(phrase):
features = {}
# Count number of positive, negative, and neutral labels there are
Opi_sentiments = defaultdict(lambda:0)
for word in phrase:
negated = ('_neg' in word)
if negated: word = word[:-4]
label = lexOpi.lookup(word)
if label != 'neutral':
if negated:
if label == 'positive':
label = 'negative'
else:
label = 'positive'
Opi_sentiments[label] += 1
for sentiment,count in Opi_sentiments.items():
if sentiment == '': continue
features[ ('Opi-count', sentiment) ] = count
return features