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]))

Similar codes

42 votes286 views6 answers
Train test split python
Python
2 votes310 views3 answers
Python datetime no milliseconds
Python
0 vote294 views1 answer
Python code for calculating probability of random variable
Python
2 votes338 views1 answer
Tf.reduce_sum()
Python
0 vote330 views4 answers
Beautifulsoup parent
Python
0 vote327 views1 answer
Def identity_block(X, f, filters, training=True, initializer=random_uniform):
Python
2 votes356 views1 answer
Database default code in settings django
Python Django
0 vote293 views1 answer
Python matplotlib pyplot set axis equals
Python
0 vote316 views2 answers
Identity matrix with numpy
Python
0 vote293 views1 answer
Dataframe plot distribution of dates
Python