Text generation
http://pad.constantvzw.org/p/text_generation

you can work on different levels:
    * easy grammar algorithms
    * recurrent neural networks, can be applied to text http://googleresearch.blogspot.be/2015/06/inceptionism-going-deeper-into-neural.html
    learn to talk: http://karpathy.github.io/2015/05/21/rnn-effectiveness/
    * take existing code and see how we can use them
    
ex : http://botpoet.com/

Possible interests:
- legal language = ritualistic / how to engage with it in machinic way
- write your own Shakespeare, experiment with types like in some literature
- automated twitter commenting in certain style (f.ex. antipatternalist comments to sexists)
- look at what computer does with language precisely
- reverse the spam

tools : pattern

possible to combine with text mining

algolit : experiment using markov chains (in an analog way, using dice)
<<<

fifty shades in C, automatic erotic texts

recursive neural networks
incremental means of traning neural networks to produce texts from totally random to increasingly well formed text.
    the code validates how much text is text-like... how much it is shakespear-like.. so its
supervised vs. unsupervised learning
neural networks are actually quite old (Perceptron 1960's)

Markov chains, example of generative calvin & hobbes. (Calvin and Markov)
http://www.joshmillard.com/markov/calvin/

Using large-scale brain simulations for machine learning and A.I.

http://googleblog.blogspot.be/2012/06/using-large-scale-brain-simulations-for.html
https://static.googleusercontent.com/media/research.google.com/en//archive/unsupervised_icml2012.pdf

**********************************************
presentation (20th August)
notes/

- the ritualistic reality of language situations 
- look at different text generators and to what they do
uses:
    a kind of 'commedia dell'arte': tipes of bots playing a commedia on twitter...
    play with administration on a computer generator, playing with the regularity of the language
    the tools are the starting point, you are not asked to know how to code! play around and explore these tools in different ways
    - but the code is the 'grammar', you need to look at how these things are constructed!
    - looking for the political implications of administrative-institutional language, ways to hack them
    - looking vs reading - understanding parodies
    - connection with data mining topic of the Training Common Sense track, related to text mining

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