I am doing content analysis on tweets. I'm using tweepy to return tweets that match certain terms and then writing N amount of tweets to a CSv file for analysis. Creating the files and getting data is not an issue, but I would like to reduce data collection time. Currently I am iterating through a list of terms from a file. Once the N is reached (eg 500 tweets), it moves to the next filter term.
I would like to input all my terms (less than 400) into a single variable and all the results to match. This works too. What I cannot get is a return value from twitter on what term matched in the status.
class CustomStreamListener(tweepy.StreamListener):
def __init__(self, output_file, api=None):
super(CustomStreamListener, self).__init__()
self.num_tweets = 0
self.output_file = output_file
def on_status(self, status):
cleaned = status.text.replace('\'','').replace('&','').replace('>','').replace(',','').replace("\n",'')
self.num_tweets = self.num_tweets + 1
if self.num_tweets < 500:
self.output_file.write(topicName + ',' + status.user.location.encode("UTF-8") + ',' + cleaned.encode("UTF-8") + "\n")
print ("capturing tweet number " + str(self.num_tweets) + " for search term: " + topicName)
return True
else:
return False
sys.exit("terminating")
def on_error(self, status_code):
print >> sys.stderr, 'Encountered error with status code:', status_code
return True # Don't kill the stream
def on_timeout(self):
print >> sys.stderr, 'Timeout...'
return True #Don't kill the stream
with open('termList.txt', 'r') as f:
topics = [line.strip() for line in f]
for topicName in topics:
stamp = datetime.datetime.now().strftime(topicName + '-%Y-%m-%d-%H%M%S')
with open(stamp + '.csv', 'w+') as topicFile:
sapi = tweepy.streaming.Stream(auth, CustomStreamListener(topicFile))
sapi.filter(track=[topicName])
Specifically my issue is this. How do I get what matched if the track variable has multiple entries? I will also state that I am relatively new to python and tweepy.
Thanks in advance for any advice and assistance!
You could check the tweet text against your matching terms. Something like:
Which would give you all of the terms that that specific tweet, a, matched. Which in this case was just the "this" term.