The following is some nba articles fully-automatically generated by char-cnn, a recurrent-neural-network library thanks to Andrej Karpathy [link]. The library is awesome to easy, and very user-friendly. You should try it! :)
Basically, I wrote a python script [link] to extract past archives . And use that as the training set for the recurrent neural network.
The articles below are generated by a network trained with rougly about 2 millions character (which is an okay size; not big enough though). You can see that the generated article contains artificial author names, speeches, etc; similar to an nba archive (although the logic has to be improved, it is FUN.)
You can tune the parameter and train with a even bigger dataset using my script. And you will probably get better result! Have fun:)
NETWORK --> 2-layers; 128 hidden units each; LSTM; dropout 0.7; number of epochs: 25.08
TEXT GENERATION --> length:2000; temperature:0.81; primetext:'---'
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ESPN.com:
NBA
[Print without images]
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