This is my predictive array which i have calculated separately
model.predict(x_test)
array([[0.53189766, 0.5206426 , 0.5028406 ],
[0.49872813, 0.49236214, 0.46486002],
[0.5356784 , 0.6017476 , 0.46934658],
...,
[0.5134366 , 0.50351447, 0.5025247 ],
[0.5107351 , 0.5409793 , 0.5059488 ],
[0.47921842, 0.4638722 , 0.50206804]], dtype=float32)
Now when I am trying to make a function where it will show the 'positive', 'negative', 'neutral' it is giving me more than one element is ambiguous error
def preprocess(text):
review=re.sub('@\S+|https?:\S+|http?:\S|[^A-Za-z0-9]+',' ',text)
review=review.lower()
review=review.split()
review=[word for word in review if not word in stop_words]
print(review)
review=pad_sequences(tokenizer.texts_to_sequences([review]), maxlen=300)
return review
def prediction(review):
review=preprocess(review)
score=model.predict(review)
score=score[0]
if score<0.4:
print("Negative")
elif score>0.4 and score<0.6:
print("Neutral")
else:
print("Positive")
print(score)
prediction("the food is not bad")
this is my error code-
['food', 'bad']
---------------------------------------------------------------------------
ValueError Traceback (most recent call last)
<ipython-input-91-b47bdbfca359> in <module>()
----> 1 prediction("the food is not bad")
<ipython-input-90-1974b824c005> in prediction(review)
3 score=model.predict(x_test)
4 score=score[0]
----> 5 if score<0.4:
6 print("Negative")
7 elif score>0.4 and score<0.6:
ValueError: The truth value of an array with more than one element is ambiguous. Use a.any() or a.all()
