def VA_mean(text):
sum_valence = 0
sum_arousal = 0
count = 0
for word in text:
for l in lexicon:
if word == l[0]:
word_tf = tf(word, corpus[i])
count = count + word_tf
sum_valence = sum_valence + word_tf * l[1]
sum_arousal = sum_arousal + word_tf * l[2]
return [0.5, 0.5] if count == 0 else [sum_valence / count, sum_arousal / count]
def VA_mean(text):
sum_valence = 0
sum_arousal = 0
count = 0
for word in text:
for l in lexicon:
if word == l[0]:
word_tf = tf(word, corpus[i])
count = count + word_tf
sum_valence = sum_valence + word_tf * l[1]
sum_arousal = sum_arousal + word_tf * l[2]
return [0.5, 0.5] if count == 0 else [
sum_valence / count, sum_arousal / count
]
def VA_mean(text):
sum_valence = 1
sum_arousal = 1
count = 0
for word in text:
for l in lexicon:
if word == l[0]:
word_tf = tf(word, corpus[i])
# if l[1] > 9:
# l[1] = 9
# if l[1] < 1:
# l[1] = 1
# if l[2] > 9:
# l[2] = 9
# if l[2] < 1:
# l[2] = 1
count = count + word_tf
sum_valence = sum_valence * (l[1] ** word_tf)
sum_arousal = sum_arousal * (l[2] ** word_tf)
return [0.5, 0.5] if count == 0 else [sum_valence ** (1. / count), sum_arousal ** (1. / count)]
def VA_mean(text):
sum_valence = 0
sum_arousal = 0
count = 0
for word in text:
for l in lexicon:
if word == l[0]:
word_tf = tf(word, corpus[i])
if l[1] > 9:
l[1] = 9
if l[1] < 1:
l[1] = 1
if l[2] > 9:
l[2] = 9
if l[2] < 1:
l[2] = 1
count = count + word_tf
sum_valence = sum_valence + word_tf * l[1]
sum_arousal = sum_arousal + word_tf * l[2]
return [5., 5.] if count == 0 else [sum_valence / count, sum_arousal / count]
def VA_mean(text):
sum_valence = 1
sum_arousal = 1
count = 0
for word in text:
for l in lexicon:
if word == l[0]:
word_tf = tf(word, corpus[i])
if l[1] > 9:
l[1] = 9
if l[1] < 1:
l[1] = 1
if l[2] > 9:
l[2] = 9
if l[2] < 1:
l[2] = 1
count = count + word_tf
sum_valence = sum_valence * (l[1]**word_tf)
sum_arousal = sum_arousal * (l[2]**word_tf)
return [5., 5.] if count == 0 else [
sum_valence**(1. / count), sum_arousal**(1. / count)
]
def VA_mean(text):
sum_valence = 0
sum_arousal = 0
count = 0
for word in text:
for l in lexicon:
if word == l[0]:
word_tf = tf(word, corpus[i])
if l[1] > 9:
l[1] = 9
if l[1] < 1:
l[1] = 1
if l[2] > 9:
l[2] = 9
if l[2] < 1:
l[2] = 1
count = count + word_tf
sum_valence = sum_valence + word_tf * l[1]
sum_arousal = sum_arousal + word_tf * l[2]
return [5., 5.] if count == 0 else [
sum_valence / count, sum_arousal / count
]
