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@KarlMarxovChain
The Karl Marxov Chain responds to a word that users (or Pereira) seed it to guide its search through Karl Marx’s publications, as described. When it gets the seed word, it finds it in the text and takes not the next word, but the next two words. The first two words of this 3-gram are first two words of the tweet. It then takes not the last of these words, but the last two and searches the text for that pair of words. Then, of all of the times that those words appear together, it picks one at random, adds the last word to the chain, and then moves up a word. The result is that the probabilities are a bit more constricted, meaning that the tweet conforms a bit more closely to the original text, meaning it ends up sounding a bit more like normal English. The bot also cheats a bit and tries to make “complete” sentences (start with a word that has an initial capital in the source text and end with a period), but it’s not always successful. The source texts are also not the cleanest in the world, so it sometimes hiccups and tosses out typographical gibberish. (Source: Leonardo Flores, I ♥ E-Poetry)
Hannelen Leirvåg - 09.05.2013 - 21:23
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@MarkovChainMe
This bot use a Markov chain generator to produce tweets, but distinguish itself from other bots by responding to input from those who interact with it via Twitter. (Source: Leonardo Flores, I ♥ E-Poetry)
Hannelen Leirvåg - 09.05.2013 - 21:29
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Metaphor-a-Minute
This Twitter bot generates a metaphor every two minutes (in spite of its name, since Twitter places limits on automated posting), and it is more than sufficient. The constraint provides a little breathing room to consider the metaphor before facing a new one. (Source: Leonardo Flores, I ♥ E-Poetry)
Hannelen Leirvåg - 09.05.2013 - 23:07
