Note to all attendees: Session leaders will contact you with additional information, including a meeting link, for each individual workshop, event, or demonstration.
As humanists, a good portion of the work we do involves text. Whether it's writing an paper, editing an article, or putting together a website, we spend significant amounts of time moving words around. This workshop will teach you how to write and edit text in the most efficient way possible, using a modal text […]
This workshop is an introduction to the Python module SpaCy, a new library for natural language processing written in Cython, and Scikit-Learn, a library for machine learning. It is intended for intermediate to advanced Python programmers who are familiar with natural language processing suites such as the NLTK, and who are ready to explore next-generation […]
Word embeddings are the hottest new technology in natural language processing, and are used across linguistic computer science, from machine translation to information extraction and computational literary analysis. We will cover advanced topics in word embeddings, including: document similarity analysis, nearest-neighbor analysis, training vector spaces, and visualization. We will use literary texts as examples, but […]
In this workshop, participants will learn how to set up a text analysis project, by automatically assembling a large collection of text, using the Corpus-DB API. Corpus-DB allows digital humanities researchers to quickly assemble a textual corpus, according to publication date, literary genre, author, and more. We will generate corpora which may be of interest […]
