Remove stopwords

from nltk.corpus import stopwords
from nltk.tokenize import word_tokenize
 
example_sent = """This is a sample sentence,
                  showing off the stop words filtration."""
 
stop_words = set(stopwords.words('english'))
 
word_tokens = word_tokenize(example_sent)
 
filtered_sentence = [w for w in word_tokens if not w.lower() in stop_words]

Remove stopwords

traindf['title'] = traindf['title'].apply(lambda x: ' '.join([word for word in x.lower().split() if word not in 
                                                            stopwords.words('english') and string.punctuation]))

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