def Pattern_Module_Twitter_Stream():
# Start Stop Watch
t1 = time.time()
# Create a list to Store the Data
List = Twitter().stream('#Fail')
# For 10 Instances
for second in range(10):
# Get Stream Data
value = List.update(bytes=1024)
# Add Value to List if not Empty
if len(value) == 0:
# Pass
continue
else:
# Storing Results
List.append()
# Print Tweet
print('Tweet: %s') % (value.text)
# Get Sentiment
print('Sentiment Analysis of Tweet: %s') % (TextBlob(
str(value.text),
analyzer=NaiveBayesAnalyzer()).sentiment[0].upper())
# Wait 3 Seconds between queries - Do not want to get blocked
time.sleep(3)
return time.time() - t1
def Pattern_Module_Twitter_Stream():
# Start Stop Watch
t1 = time.time()
# Create a list to Store the Data
List = Twitter().stream('#Fail')
# For 10 Instances
for second in range(10):
# Get Stream Data
value = List.update(bytes=1024)
# Add Value to List if not Empty
if len(value) == 0:
# Pass
continue
else:
# Storing Results
List.append()
# Print Tweet
print('Tweet: %s') % (value.text)
# Get Sentiment
print('Sentiment Analysis of Tweet: %s') % (TextBlob(str(value.text),
analyzer=NaiveBayesAnalyzer()).sentiment[0].upper())
# Wait 3 Seconds between queries - Do not want to get blocked
time.sleep(3)
return time.time() - t1
