This project uses the twitter api to automatically generate tweets based on what is commonly tweeted. It listens to the general tweetstream and captures fragments. By randomly recombining those fragments something that reads almost like real tweets appears. It also gives an interesting insight into what the average user uses twitter for.
This project uses the twitter api to automatically generate tweets based on what is commonly tweeted. It listens to the general tweetstream and captures fragments. By randomly recombining those fragments, something that reads almost like real tweets appears. It also gives an interesting insight into what the average user uses twitter for.
Using RNNs is a popular way these days to generate this sort of thing - there are a bunch of tweet bots out there that work that way. Using the search API does seem to produce similar results though and is a lot simpler.
You can find the code on Github if you want to launch your own or see how it is done:
https://github.com/DOsinga/twitter_stream