Making Realistic Twitter Bots Using Markov Chains
Markov chains, named after Andrey Markov, are mathematical systems that hop from one “state” (a situation or set of values) to another. For example, if you made a Markov chain model of a baby’s behavior, you might include “playing,” “eating”, “sleeping,” and “crying” as states, which together with other behaviors could form a ‘state space’: a list of all possible states. In addition, on top of the state space, a Markov chain tells you the probabilitiy of hopping, or “transitioning,” from one state to any other state—e.g., the chance that a baby currently playing will fall asleep in the next five minutes without crying first.
Even though they are overshadowed by Deep Learning Models like RNNs and DNNs, they prove to be very effective in sentence generation tasks. We have all seen the autocorrect predictions on our phones, in fact they are based on Markov chains and they can be tapped repeatedly to generate loopy sentences.
I wanted to do something interesting and comedic with Markov Chains so I decided to make a Donald Trump tweet bot from a Trump tweet dataset. and made a state 2 Markov Chain from it. I used the tweepy library for Python to create the Twitter Bot.
import tweepy, time, sys import markovify #enter the corresponding information from your Twitter application: CONSUMER_KEY = 'KEY' #keep the quotes, replace this with your consumer key CONSUMER_SECRET = 'SECRET' #keep the quotes, replace this with your consumer secret key ACCESS_KEY = 'KEY' #keep the quotes, replace this with your access token ACCESS_SECRET = 'SECRET' #keep the quotes, replace this with your access token secret auth = tweepy.OAuthHandler(CONSUMER_KEY, CONSUMER_SECRET) auth.set_access_token(ACCESS_KEY, ACCESS_SECRET) api = tweepy.API(auth) model_json = open('sav1.json').read() model = markovify.Text.from_json(model_json) line = model.make_short_sentence(200) api.update_status(line) print("Tweet Made: ",line) time.sleep(900) #Tweet every 15 minutes
My bot McDonaldTrump is puts out about 50-60% grammatically incorrect and incoherent tweets but the remaining ones are worth a laugh!
Here are a few that I liked:
Get rid of the others?An incredible honor to be #AmericaFirst!— Donald Trump (@__McDonaldTrump) September 27, 2017
People are not true- just like we have no country.— Donald Trump (@__McDonaldTrump) September 25, 2017
Go out and build a WALL!.@KatrinaCampins Thank you to the end result was solid!Dishonest media is able to extort $1,000,000.00 from me.— Donald Trump (@__McDonaldTrump) September 25, 2017