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It uses, as a raw data source, the (fascinating) radio transcripts from the [http://history.nasa.gov/ap11fj/ Apollo 11 Flight Journal] and [http://history.nasa.gov/alsj/ Apollo 11 Surface Journal].
It uses, as a raw data source, the (fascinating) radio transcripts from the [http://history.nasa.gov/ap11fj/ Apollo 11 Flight Journal] and [http://history.nasa.gov/alsj/ Apollo 11 Surface Journal].


This is all possible thanks to the efforts of [https://github.com/leonardr/ leonardr (GitHub)], thanks to whom this twitter bot was up and running in a whopping 20 minutes.
This is all possible thanks to the efforts of [https://github.com/leonardr/ leonardr (GitHub)], thanks to whom this twitter bot was up and running in a whopping 20 minutes. The magic is all leonardr. I just plugged stuff in.

Revision as of 18:33, 21 December 2013

@apollo11junk is a twitter bot account.

How It Works

@apollo11junk is written in Python and uses the python-twitter module. (Pydoc documentation for the module is available here.)

This is then hooked into the Olipy library, which is an "artistic text-generation" library. It uses the TextBlob library for natural language processing (NLP) tasks, and Queneau assembly for assembling coherent text at the sentence level.

It uses, as a raw data source, the (fascinating) radio transcripts from the Apollo 11 Flight Journal and Apollo 11 Surface Journal.

This is all possible thanks to the efforts of leonardr (GitHub), thanks to whom this twitter bot was up and running in a whopping 20 minutes. The magic is all leonardr. I just plugged stuff in.