IMDB movie, Amazon product, Yelp Customer review sentiment analysis using python Part - 1

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[naveenbabudadla]

how to implement the data cleaning using spacy on a data frame?
Ex:
I have tried something like this:

def make_to_base(x):
x_list = []
doc = nlp(x)

for token in doc:
lemma = str(token.lemma_)
if lemma == '-PRON-' or lemma == 'be':
lemma = token.text
x_list.append(lemma)
print(" ".join(x_list))

I have defined make_to_base(x)

but not able to implement it on my dataframe.
Could you please help me with this?