A twitterbot that publishes an auto-generated poem once every hour, based on the words used in all first grade teaching modules within the Media Faculty of the Utrecht University of the Arts (HKU).

For this twitterbot I used tracery, a story-grammar generation library for javascript. The script generates a short new poem, loosely based on the Japanese Haiku poetic form. It uses all nouns, verbs and adjectives from the teaching module descriptions of all the fields of study within HKU Media (Audio Visual Media, Image and Media Technology, Animation, Illustration, Graphic Design and Photography). I used cheapbotsdonequick to create the twitterbot part.

In cooperation with David Jonas Castanheira, I developed an automatic Teaching module generator, that generates new lesson content, based on the texts of all first year teaching modules within the Media Faculty of the HKU. 

We used Processing and the RiTa library (Version 1.12; Howe 2015) to perform natural language processing of all existing teaching module descriptions and made an automatic teaching module generator. It generates a randomly assembled, but perfectly readable text. This way, one gets a good impression of the language use and ‘tone of voice’ across the different disciplines.