How to remove stop words using nltk or python

Question

from nltk.corpus import stopwords
# ...
filtered_words = [word for word in word_list if word not in stopwords.words('english')]

You could also do a set diff, for example:

list(set(nltk.regexp_tokenize(sentence, pattern, gaps=True)) - set(nltk.corpus.stopwords.words('english')))

To exclude all type of stop-words including nltk stop-words, you could do something like this:

from stop_words import get_stop_words
from nltk.corpus import stopwords

stop_words = list(get_stop_words('en'))         #About 900 stopwords
nltk_words = list(stopwords.words('english')) #About 150 stopwords
stop_words.extend(nltk_words)

output = [w for w in word_list if not w in stop_words]

I suppose you have a list of words (word_list) from which you want to remove stopwords. You could do something like this:

filtered_word_list = word_list[:] #make a copy of the word_list
for word in word_list: # iterate over word_list
  if word in stopwords.words('english'): 
    filtered_word_list.remove(word) # remove word from filtered_word_list if it is a stopword