/* Create a list of three strings. */
incoming_reports = ["We are attacking on their left flank but are losing many men.", 
               "We cannot see the enemy army. Nothing else to report.", 
               "We are ready to attack but are waiting for your orders."]

/* import word tokenizer */
from nltk.tokenize import word_tokenize

/* Apply word_tokenize to each element of the list called incoming_reports */
tokenized_reports = [word_tokenize(report) for report in incoming_reports]

/* View tokenized_reports */
tokenized_reports

/* Import regex */
import re

/* Import string */
import string


regex = re.compile('[%s]' % re.escape(string.punctuation)) 
tokenized_reports_no_punctuation = []

for review in tokenized_reports:
    
    new_review = []
    for token in review: 
        new_token = regex.sub(u'', token)
        if not new_token == u'':
            new_review.append(new_token)
    
    tokenized_reports_no_punctuation.append(new_review)
    
tokenized_reports_no_punctuation

from nltk.corpus import stopwords

tokenized_reports_no_stopwords = []
for report in tokenized_reports_no_punctuation:
    new_term_vector = []
    for word in report:
        if not word in stopwords.words('english'):
            new_term_vector.append(word)
    tokenized_reports_no_stopwords.append(new_term_vector)
            
tokenized_reports_no_stopwords