Download 21 Recipes for Mining Twitter by Matthew A. Russell PDF

By Matthew A. Russell

Millions of public Twitter streams harbor a wealth of knowledge, and when you mine them, you could achieve a few worthy insights. This brief and concise e-book bargains a set of recipes that will help you extract nuggets of Twitter details utilizing easy-to-learn Python instruments. every one recipe bargains a dialogue of the way and why the answer works, so that you can fast adapt it to suit your specific wishes. The recipes comprise suggestions to:
* Use OAuth to entry Twitter information
* Create and study graphs of retweet relationships
* Use the streaming API to reap tweets in realtime
* Harvest and research neighbors and fans
* detect friendship cliques
* Summarize webpages from brief URLs

This ebook is an ideal significant other to O’Reilly's Mining the Social Web.

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Extra info for 21 Recipes for Mining Twitter

Example text

Try TeaParty or JustinBieber if you want some interesting results from two high velocity communities. Example 1-17. argv[1:] # Get these values from your application settings. CONSUMER_KEY = '' CONSUMER_SECRET = '' # Get these values from the "My Access Token" link located in the # margin of your application details, or perform the full OAuth # dance. set_access_token(ACCESS_TOKEN, instead of using the following manually set the ACCESS_TOKEN_SECRET). StreamListener): def on_status(self, status): # We'll simply print some values in a tab-delimited format # suitable for capturing to a flat file but you could opt # store them elsewhere, retweet select statuses, etc.

It should work especially well for lengthier blog entries or news stories. 13 Harvesting Friends and Followers Problem You want to harvest all of the friends or followers for a particular user. 9 to collect all of the friend or follower ids via a long-running process. 13 Harvesting Friends and Followers | 37 Discussion Twitter provides the /friends/ids and /followers/ids resources that you can use to get up to 5,000 friend or follower ids at a time; a cursor is returned that you can use to iteratively access additional batches of ids until you have them all.

Example 1-18. py for an example of how you might use # make_twitter_request to do something like harvest a bunch of friend ids for a user. def make_twitter_request(t, twitterFunction, max_errors=3, *args, **kwArgs): # A nested function for handling common HTTPErrors. Return an updated value # for wait_period if the problem is a 503 error. Block until the rate limit is # reset if a rate limiting issue. stderr, 'Too many retries. stderr, 'Encountered %i Error. stderr, "URLError encountered. Twitter API, a reference to the function you want to invoke that instance, and any other relevant parameters.

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