I am currently in the process of doing some research using sentiment analysis on twitter data regarding a certain topic (isn’t necessarily important to this question) using python, of which I am a beginner at. I understand the twitter streaming API limits users to access only to the previous 7 days unless you apply for a full enterprise search which opens up the whole archive. I had recently been given access to the full archive for this research project from twitter but I am unable to specify a start and end date to the tweets I would like to stream into a csv file. This is my code:
import pandas as pd
from tweepy import Stream
from tweepy import OAuthHandler
from tweepy.streaming import StreamListener
ckey = 'xxxxxxxxxxxxxxxxxxxxxxx’
csecret = 'xxxxxxxxxxxxxxxxxxxxxxx’
atoken = 'xxxxxxxxxx-xxxxxxxxxxxxxxxxxxxxxxx’
asecret = ‘xxxxxxxxxxxxxxxxxxxxxxxxxxxx’
=============================================================================
def sentimentAnalysis(text):
output = ‘0’
return output
=============================================================================
class listener(StreamListener):
def on_data(self, data):
tweet = data.split(’,“text”:"’)[1].split(’","source’)[0]
saveMe = tweet+’::’+’\n’
output = open(‘output.csv’,‘a’)
output.write(saveMe)
output.close()
return True
def on_error(self, status):
print(status)
auth = OAuthHandler(ckey, csecret)
auth.set_access_token(atoken, asecret)
twitterStream = Stream(auth, listener())
twitterStream.filter(track=["#weather"], languages = [“en”])
Now this code streams twitter date from the past 7 days perfectly. I tried changing the bottom line to
twitterStream.filter(track=["#weather"], languages = [“en”], since = [“2016-06-01”])
but this returns this error :: filter() got an unexpected keyword argument ‘since’.
What would be the correct way to filter by a given date frame?
