[Python] Optimize the python code to remove words from very large dataframe

My aim is to remove rare words from dataframe of size 3 million. Below code is taking very long time. Is there way i can optimize it?

rare_word=[]
for k,v in frequency_word.items():
if v<=1:
rare_word.append(k)

df['description']=df['description'].apply(lambda x:[i for i in x if i not in rare_word] )

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