#!/usr/bin/env python
# coding: utf-8

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import os
from nltk.tokenize import word_tokenize
from nltk.corpus import stopwords
from nltk import ngrams
import string
from nltk.stem import PorterStemmer
import matplotlib.pyplot as plt
from wordcloud import WordCloud
from collections import Counter
from sklearn.feature_extraction.text import TfidfVectorizer
from sklearn.svm import LinearSVC
from sklearn.feature_extraction.text import TfidfVectorizer
from sklearn.svm import LinearSVC
from pprint import pprint
from sklearn.preprocessing import MultiLabelBinarizer
from sklearn.multiclass import OneVsRestClassifier
from sklearn.metrics import f1_score, precision_score, recall_score
from nltk.corpus import reuters
from operator import itemgetter


# Test that verifies that the imports don't fail and that we have the correct files from nltk downloaded
reuters.fileids()
stopwords.words('english')
word_tokenize('This is just a test')

print('You are all set')


# In[2]:


get_ipython().system(' pip install wordcloud')


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