import nltk
from nltk.corpus import stopwords

class StopwordRemoval():
    def __init__(self, language):
        nltk.download("stopwords")
        self.language = language
        self.stopwords = stopwords.words(language)

    def fit(self, X):
        filtered_X = [[word for word in sentence if word not in self.stopwords] for sentence in X]
        return filtered_X

d9a7cfb76ad68f63c5cb3e237126dc868605713b
<mask token>


class StopwordRemoval:
    <mask token>
    <mask token>

<mask token>


class StopwordRemoval:
    <mask token>

    def fit(self, X):
        filtered_X = [[word for word in sentence if word not in self.
            stopwords] for sentence in X]
        return filtered_X

<mask token>


class StopwordRemoval:

    def __init__(self, language):
        nltk.download('stopwords')
        self.language = language
        self.stopwords = stopwords.words(language)

    def fit(self, X):
        filtered_X = [[word for word in sentence if word not in self.
            stopwords] for sentence in X]
        return filtered_X

import nltk
from nltk.corpus import stopwords


class StopwordRemoval:

    def __init__(self, language):
        nltk.download('stopwords')
        self.language = language
        self.stopwords = stopwords.words(language)

    def fit(self, X):
        filtered_X = [[word for word in sentence if word not in self.
            stopwords] for sentence in X]
        return filtered_X

import nltk
from nltk.corpus import stopwords

class StopwordRemoval():
    def __init__(self, language):
        nltk.download("stopwords")
        self.language = language
        self.stopwords = stopwords.words(language)

    def fit(self, X):
        filtered_X = [[word for word in sentence if word not in self.stopwords] for sentence in X]
        return filtered_X
