Note to all attendees: Session leaders will contact you with additional information, including a meeting link, for each individual workshop, event, or demonstration.
The amount of text data available is mind-boggling. We will explore programatic approaches to identify information about what happened and when it happened by gathering knowledge from text. Equipment: Python, Anaconda, Laptop Prerequisites: Working familiarly with Python
An introduction to computational text analysis for literature with basic introduction to software packages. This workshop is a primer for working with text as data in the humanities. This workshop will cover: gathering text corpora, data cleaning, an introduction to some computational software tools, reading the output and analysis of topic modeling and cluster analysis, […]
WebAnno is a web-based tool for linguistic annotation (marking up) of text, with layers for morphological, syntactic, and semantic annotation. We will work through tagging named entities and relationships in a text, exporting as a tab-delimited file, and using the annotated text as input into a (Python) machine-learning algorithm for named entity recognition. Equipment Requirements: […]
The Making and Knowing Project (Center for Science and Society, Columbia University) is excited to present Secrets of Craft and Nature in Renaissance France—a digital critical edition and English translation of a sixteenth-century French manuscript of artisanal recipes. The publication of this edition marks the culmination over five years of iterative, collaborative, and interdisciplinary work by […]
Millions of books have been digitized in the past two decades. Thanks to a 2014 court ruling, about 15 million books are available for computational analysis in the HathiTrust including data about word counts on each individual page. In the next year or two, similar data will become available for JStor and Portico books. This […]
FairCopy is a simple and powerful tool for transcribing, editing, and studying manuscripts and historical texts. FairCopy gives humanists an editor to create TEI encoded texts without writing a single line of XML, so this rich format becomes accessible for everyone. Nick Laiacona will demonstrate the use of this new tool and its functionality. The […]
This hands-on workshop will teach participants how to construct their own digital text corpus for conducting humanities data analysis. We'll cover simple tools for turning printed texts in a variety of languages into computer-readable files, the use of Optical Character Recognition (OCR) software, and consider helpful tools for post-process correction of digitized texts. We’ll also […]
This digital archive has collected stories and experiences from the Brooklyn College community related to the Covid-19 pandemic. The archive resides within the larger, omnibus archive, A Journal of the Plague Year. This demonstration will review the principles that guided the project, the submission process and explore possible digital humanities projects based upon the archive […]
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 […]
Working with transcribed zines from the Barnard Zine Library, we will engage participants in the ethics and steps of creating a corpus and how to explore them using Voyant-Tools and a pre-written Python script. Corpus metadata highlight zine creators holding one or more minoritized identities. All are welcome, and no coding experience is necessary. This [...]
