def emotion_lexicon_features(phrase):
# Emotion Scores
lexEmo_uni_scores = defaultdict(lambda: [])
for w in phrase:
senti = lexEmo.lookup(w)
lexEmo_uni_scores[senti[0]].append(senti[1])
# Get features for each kind of emotion
features = {}
for e, scores in lexEmo_uni_scores.items():
emotion_feats = scores_to_features(scores, "Emo", e)
features.update(emotion_feats)
return features
def emotion_lexicon_features(phrase):
# Emotion Scores
lexEmo_uni_scores = defaultdict(lambda: [])
for w in phrase:
senti = lexEmo.lookup(w)
lexEmo_uni_scores[senti[0]].append(senti[1])
# Get features for each kind of emotion
features = {}
for e, scores in lexEmo_uni_scores.items():
emotion_feats = scores_to_features(scores, 'Emo', e)
features.update(emotion_feats)
return features
def emotion_lexicon_features(phrase):
# Emotion Scores
lexEmo_uni_scores = defaultdict(lambda: [])
for w in phrase:
context = (w[-4:] == '_neg')
if context: w = w[:-4]
senti = lexEmo.lookup(w)
if context:
score = -senti[1]
else:
score = senti[1]
lexEmo_uni_scores[senti[0]].append(score)
# Get features for each kind of emotion
features = {}
for e, scores in lexEmo_uni_scores.items():
emotion_feats = scores_to_features(scores, 'Emo', e)
features.update(emotion_feats)
return features
def emotion_lexicon_features(phrase):
# Emotion Scores
lexEmo_uni_scores = defaultdict(lambda:[])
for w in phrase:
context = (w[-4:] == '_neg')
if context: w = w[:-4]
senti = lexEmo.lookup(w)
if context:
score = -senti[1]
else:
score = senti[1]
lexEmo_uni_scores[senti[0]].append( score )
# Get features for each kind of emotion
features = {}
for e,scores in lexEmo_uni_scores.items():
emotion_feats = scores_to_features(scores, 'Emo', e)
features.update(emotion_feats)
return features
