我正在使用以下功能：
def prediction_rate(model_name):
print("welcome ! \nplease enter the first text ! : ")
ID1 = input()
print("please enter the second text ! : ")
rev = input()
comment1=encoding(ID1)
comment2=encoding(rev)
y=model_name.predict([commentaire1,commentaire2])
c = np.argmax(y)
Switcher={
0:'Satisfaction Percentage : {:.1f}'.format(
(y[0][c]/5)*100)+ ' %'}
print(Switcher.get(c))
在此代码中，comment1和comment2是使用多输入CNN模型进行预测的输入。 Comment1和comment2由以下问题预处理：
def encoding(text):
text = clean_str(text)
text = preprocessing(text)
vocabulary,vocabulary_inv = build_vocab(text)
text = pad_sentences(text,100)
x_users = np.array([vocabulary[word] for word in text])
x_test = sequence.pad_sequences(x_users, maxlen=100)
return x_test
运行prediction_rate(model_name)后出现此错误：
File "<ipython-input-26-8859e8cf819b>", line 1, in <module>
prediction_rate(model_name)
File "<ipython-input-25-e74c3c5bf609>", line 6, in prediction_rate
comment1=encoding(ID1)
File "<ipython-input-24-73d50eec77a1>", line 3, in encoding
text = preprocessing(text)
File "C:\Users\Amin Chaari\Apothek\data_clean.py", line 159, in preprocessing
words=stems, lemmas(words)
TypeError: 'list' object is not callable
预处理功能：
def preprocessing(words):
words = remove_non_ascii(words)
words = to_lowercase(words)
words = remove_punctuation(words)
words = remove_stopwords(words)
words =stem_words(words)
words=lemmatize_verbs(words)
words= stem_and_lemmatize(words)
words=stems, lemmas(words)
return words
然后：
def stem_and_lemmatize(words):
stems = stem_words(words)
lemmas = lemmatize_verbs(words)
return stems, lemmas
stems, lemmas = stem_and_lemmatize(words)