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

34 votes164 views2 answers
Train-test split code in pandas
Python
1 vote148 views1 answer
Python for property in object
Python
0 vote157 views1 answer
Créer fonction python
Python
0 vote146 views1 answer
Pandas if value present in df index
Python
-1 vote154 views2 answers
Sequence in python
Python
1 vote145 views1 answer
Create iterator object python
Python
0 vote169 views1 answer
I=int(input("enter the number")); sum=0; pro=1; while(i>0): d=1%10; if (d%2==0): sum=sum+d; else: pro=pro*d; i=i//10; print("sum=",sum,"product=",pro);
Python
52 votes135 views6 answers
Time it python
Python
4 votes146 views2 answers
Arrayfield django example
Python
0 vote172 views1 answer
Web socket in python
Python