def remove_stopwords(df):
    ger = pd.read_csv(config.STOPWORDS_PATH)['stopwords'].values
    df['link'] = df['link'].apply((lambda x: ' '.join([word for word in str(x).split() if (word not in ger)])))
    df['meta_data'] = df['meta_data'].apply((lambda x: ' '.join([word for word in str(x).split() if (word not in ger)])))
    df['title'] = df['title'].apply((lambda x: ' '.join([word for word in str(x).split() if (word not in ger)])))
    df['body'] = df['body'].apply((lambda x: ' '.join([word for word in str(x).split() if (word not in ger)])))
    return df
def remove_stopwords(df):
    ger = pd.read_csv(config.STOPWORDS_PATH)['stopwords'].values
    df['link'] = df['link'].apply((lambda x: ' '.join([word for word in str(x).split() if (word not in ger)])))
    df['meta_data'] = df['meta_data'].apply((lambda x: ' '.join([word for word in str(x).split() if (word not in ger)])))
    df['title'] = df['title'].apply((lambda x: ' '.join([word for word in str(x).split() if (word not in ger)])))
    df['body'] = df['body'].apply((lambda x: ' '.join([word for word in str(x).split() if (word not in ger)])))
    return df