application_vnd.jupyter.stderr_output_1.png
from nltk.corpus import stopwords

from subprocess import check_output

import numpy as np
import pandas as pd
import nltk
import re
from bs4 import BeautifulSoup
from nltk.corpus import stopwords
import seaborn as sns
import matplotlib.pyplot as plt
from sklearn.feature_extraction.text import CountVectorizer
from sklearn.feature_extraction.text import TfidfTransformer
from string import punctuation
stop = set(stopwords.words('english'))
from subprocess import check_output
print(check_output(['ls', '../input']).decode('utf8'))