BDP: Big Data Poetry

Category: digital poetry

  • ELO Performance (Brief Reproduction)

    Read a screen where code is rapidly producing poems. Find a path through the words: construct a poem from machinic intuition. The following recreates a performance made at the Electronic Literature Organization conference in Bergen, Norway on Aug. 4th 2015. Details: http://bdp.glia.ca/smaller-words-shrink-gapped Code: https://github.com/jhave/Big-Data-Poetry Technical process: the following poems were produced using a 10,000+ corpus…

  • ELO 2015 — Bergen – Performance

    One of the ends of digital literature is an external intuition. External intuition is an engineering problem. Intuition in this case is me. Skidding thru the generated poems as they augment my imagination. I call this act of augmented imagination: cyborg/ skid/ spreedr poetry. #### For the performance, at ELO conference performance in Bergen, Norway…

  • Spreeder: the feature film (EPC 20th Anniversary Celebration)

    Loss Pequeño Glazier is celebrating the 20th anniversary of the Electronic Poetry Centre along with Charles Bernstein, cris cheek, Tony Conrad, Steve McCaffery, Myung Mi Kim, Tammy McGovern, Joan Retallack, Laura Shackelford, Danny Snelson, Dennis Tedlock, Cecilia Vicuña, Elizabeth Willis, & Wooden Cities with Ethan Hayden. Along with exhibitions by: “Abra” (Amaranth Borsuk, Kate Durbin…

  • SPREED : Speed Screen Reading : One Hour Real-Time Poetry Generation ScreenGrab

    Using Python (Anaconda), NLTK, WordNet, Alchemy, pattern.en, and pyenchant to analyze and perform word replacement on a corpus of 10,119 poems scraped from the PoetryFoundation and generate 7,769 poems in approx. 2 hours and 30 minutes. This is a real-time hour-long screen-grab output of the trace window in SublimeText as the poetry-gen program runs. 8:40-9am: 1097 Poems…

  • Markov Bern

    Markov chains are one of the traditional tricks in the NLP playbook. They are the apple pie-chart of text-generation. Basic process: given a source text, find words that are neighbours, if you know the neighbours of a word, you can form a chain if you wish. [(“you”),(“know”,”can”,”wish”)] and reconstruct a text which contains pairs (bigrams) from…

  • SYN-SCI-RAP

    I think I have begun to develop a mild form of insanity that often strikes those who fiddle around with computationally-generated text. After reading thousands of lines of dense incomprehensible gibberish it clarifies and makes sense, often more sense than any mere linear thought. The brain acclimatises to syntactic pressure. Recipe for mildly insane word-salad:…

  • RSERVOIRD

    Reservoirs are where I put unwanted words. These orphan words are later fed back into society whenever the next orphan appears. Thus words swap circumstances, exchange semantic situations, live out different meanings. Click on an image to visit a reservoir.  

  • Smaller Words (shrink-gapped at 64ppm)

    Words disconnected from their primary communicative intent operate as lesions/lessons within the psyche. Today, I generated another 10120 poems using a very mild modification of the alchemy-synset algorithm with the average word-length constrained even shorter. Speed decreased to 64 ppm poems-per-minute. This reduction in word-length seems (to me) to make some of the absurd illogical elliptical generated…

  • Small words (a homage)

    I can’t stop. It’s addictive. The ceaseless generative churn. It’s like planting seeds that germinate and blossom as you watch, then goto seed, ripen fall germinate ripen fall germinate, fields filling space to the horizon, blocking out both sun and moon, and again…. I was thinking that after reading the rich thick dense multi-syllable outputs of…

  • 4,704 Swan Songs & 1 Opinion

    The code is now at a stage where if I set it to loop and sent the 57k rap songs I have in archive from ohhla to alchemy, I could generate, an unfathomable amount of unreadable crap (also known as c-rap: computational rap). But I think I have come to the end of the synset…