def test_twitter_author(self):
self.assertEqual(web.author("me"), "from:me")
print "pattern.web.author()"
def test_twitter_author(self):
self.assertEqual(web.author("me"), "from:me")
print "pattern.web.author()"
table.append(['Tweets'])
'''
Cleaning the tweets extracted from a particular user timeline,
code is available in another file
'''
with open('extracted_tweets_translated.txt') as f:
for tweet in f.readlines():
clean_text = ' '.join(re.sub("(@[A-Za-z0-9]+)|([^0-9A-Za-z \t])|(\w+:\/\/\S+)"," ",tweet).split())
print
print clean_text
print author(tweet)
print hashtags(tweet)
print
table.append([clean_text])
'''
Keyword based crawling
'''
twitter = Twitter(language='en')
