How to remove stop words using nltk or python

So I have a dataset that I would like to remove stop words from using

stopwords.words('english')

I'm struggling how to use this within my code to just simply take out these words. I have a list of the words from this dataset already, the part i'm struggling with is comparing to this list and removing the stop words. Any help is appreciated.

Daren Thomas

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')))

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

sumitjainjr

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]

Use textcleaner library to remove stopwords from your data.

Follow this link:https://yugantm.github.io/textcleaner/documentation.html#remove_stpwrds

Follow these steps to do so with this library.

pip install textcleaner

After installing:

import textcleaner as tc
data = tc.document(<file_name>) 
#you can also pass list of sentences to the document class constructor.
data.remove_stpwrds() #inplace is set to False by default

Use above code to remove the stop-words.

you can use this function, you should notice that you need to lower all the words

from nltk.corpus import stopwords

def remove_stopwords(word_list):
        processed_word_list = []
        for word in word_list:
            word = word.lower() # in case they arenet all lower cased
            if word not in stopwords.words("english"):
                processed_word_list.append(word)
        return processed_word_list

using filter:

from nltk.corpus import stopwords
# ...  
filtered_words = list(filter(lambda word: word not in stopwords.words('english'), word_list))

   import sys
print ("enter the string from which you want to remove list of stop words")
userstring = input().split(" ")
list =["a","an","the","in"]
another_list = []
for x in userstring:
    if x not in list:           # comparing from the list and removing it
        another_list.append(x)  # it is also possible to use .remove
for x in another_list:
     print(x,end=' ')

   # 2) if you want to use .remove more preferred code
    import sys
    print ("enter the string from which you want to remove list of stop words")
    userstring = input().split(" ")
    list =["a","an","the","in"]
    another_list = []
    for x in userstring:
        if x in list:           
            userstring.remove(x)  
    for x in userstring:           
        print(x,end = ' ') 
    #the code will be like this

来源：https://stackoverflow.com/questions/5486337/how-to-remove-stop-words-using-nltk-or-python

标签

python

nltk

stop-words