Give MarkovBot a twitter handle and it can tweet like them!
It first scrapes their entire twitter timeline (even beyond the 3200 tweet limit) by using tweepy and selenium. Once it's compiled a body of their tweets, it cleans it and tokenizes it to form the main corpus. From there, the bot uses markov chaining to produces likely tweets.
If you're really interested, take a look at the included MarkovTweets powerpoint!
- tweepy
- selenium (I use a chrome webdriver)
- urllib2 (for accessing pages)
- bs4 (from bs4 import BeautifulSoup - for a small amount of parsing)
starting bot!
analyzing corpus...
1-chaining done
2-chaining done
3-chaining done
4-chaining done
5-chaining done
6-chaining done
Beginning chain generation...
@realdonaldtrump says: Would be a disaster in congress. Very weak on crime and illegal immigration, bad for gun owners and veterans and against the wall. Jones is a pelosi-schumer puppet. Roy moore will always vote with us. Vote roy moore!
