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
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# Drop this into Automator using Python 3 as the shell | |
from sys import stdin | |
from json import dumps, loads | |
from urllib.parse import urlencode | |
from urllib.request import Request, urlopen | |
AZURE_ENDPOINT="getyourowndeployment.openai.azure.com" | |
OPENAI_API_KEY="getyourownkey" | |
OPENAI_API_VERSION="2023-05-15" |
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