#Make-A-Twitter-Bot Workshop
Session led by Allison Parrish
##Some of my bots
- Power Vocab Tweet (markov chains)
- Library of Emoji (context-free grammars)
- Egress Methods (CMU pronouncing dictionary)
- Eventually Bot
#Make-A-Twitter-Bot Workshop
Session led by Allison Parrish
##Some of my bots
name: rwet | |
channels: | |
- conda-forge | |
dependencies: | |
- python | |
- numpy |
Led by Allison Parrish
Practitioners in the field of procedural writing have been using rules, procedures and computer programs to create innovative literary work since the invention of the digital computer. Far from the bland imitation evoked by the phrase "computer-generated poetry," these techniques facilitate the creation of work with aesthetic and emotional affordances sometimes difficult to achieve through conventional compositional techniques: serendipitous beauty, precisely imitative satire, vertiginous wonder at the infinite. In this workshop, participants will learn about the history of computer-generated writing and sample a range of off-the-shelf, freely-available tools on the web to create their own—without writing any actual lines of code. No previous programming experience is required.
MOBY DICK; | |
OR THE WHALE | |
by Herman Melville | |
CHAPTER III. Loomings |
Nothing is more essentially human than linguistic communication. But when programmers, data scientists, and computational linguists work with language, the abstractions they work with sometimes don't line up with your intuitive understanding of spelling and grammar. In this workshop, we'll investigate the state of the art of natural language processing, including: a whirlwind tour of spaCy for parsing English into syntactic constituents; a discussion of techniques for classifying and summarizing documents; and an explanation and demonstration of "word vectors" (like Google's word2vec), an innovative language technology that allows computers to process written language less as discrete units and more like a continuous signal. Workshop participants will develop a number of small projects in text analysis and poetics using a public domain text of their choice. In becoming familiar with contemporary techniques for computational language analysis, cri
# an interactive python script to assist in getting access tokens for OAuth v1 | |
# APIs. requires python's OAuth2 library (pip install oauth2) | |
# | |
# run from the command line like so: | |
# | |
# $ python three_legged_oauth_helper.py --consumer_key=<ckey> \ | |
# --consumer_secret=<csecret> \ | |
# --request_token_url=<request_token_url> \ | |
# --authorize_url=<authorize_url> \ | |
# --access_token_url=<access_token_url> |