Sarah Ketchley

Coding for Humanists: Python Notebooks in Gale Digital Scholar Lab

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│By Sarah L. Ketchley, Senior Digital Humanities Specialist│

Recently, three Python Notebooks were added to Gale Digital Scholar Lab to offer additional flexibility in processing and analysing text data. Each of the Notebooks can be downloaded by a researcher, then used or adapted to suit individual needs. This blog post offers some considerations for those interested in incorporating Python-based workflows into their text analysis pipeline but aren’t quite sure where to start.

This blog can also be read in conjunction with Women’s History Month in Gale Digital Scholar Lab: Named Entity Recognition, Python Notebooks, and an Intrepid Female Diarist which offers some practical programming insights into a project using Named Entity Recognition.

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Playing Games with Data: Building Interactive Narratives with Twine

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│By Sarah L. Ketchley, Senior Digital Humanities Specialist│

The Digital Humanities Summer Institute, at the University of Victoria, BC, has taken place every June since 2001. The intensive week of workshops, lectures, papers and social gatherings has a long history of active engagement in learning, conversation and discussions of research and methodologies.

I have had the opportunity to attend each year since 2011 and have participated in 5-day workshops on topics ranging from text encoding, digital project management, mapping, data visualization, IIIF viewers, python programming, cloud computing and DH for department chairs and deans. As an academic with an active research agenda and regular engagement in both undergraduate and graduate classrooms, I have come to greatly value the in-depth and diverse conversations taking place during the week, and 2024 has been no exception.

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Finding Meaning in K-Means: Clustering Analysis in Gale Digital Scholar Lab

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│By Sarah L. Ketchley, Senior Digital Humanities Specialist│

Of the six tools in Gale Digital Scholar Lab, clustering is often considered the most challenging methodology to interpret effectively. This blog post will explore the nature of this analysis tool and offer some tips for running an analysis.

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Building Projects in Gale Digital Scholar Lab

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│By Sarah L. Ketchley, Senior Digital Humanities Specialist│

The outcomes of digital scholarship are often ‘non-traditional’, and may include digital exhibits, websites, databases, or interactive visualisations and narratives. The underlying organisational structure of such public scholarship is that of a project, usually with a distinct triggering research question and a definitive end point. Scholars may work with collaborators or contributors from multiple disciplines.

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Women’s History Month in Gale Digital Scholar Lab: Named Entity Recognition, Python Notebooks, and an Intrepid Female Diarist

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│By Sarah L. Ketchley, Senior Digital Humanities Specialist│

Every March is Women’s History Month! In keeping with the themes of digital scholarship explored in the ‘Notes from our DH Correspondent’ series, and to celebrate a lesser-known historical female figure, in this month’s post I’ll discuss how I am exploring some of my text research data using a new enhancement to Gale Digital Scholar Lab’s embedded analysis pathways.

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Digging into Parts-of-Speech Tagging in Gale Digital Scholar Lab

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Notes from our DH Correspondent

│By Sarah L. Ketchley, Senior Digital Humanities Specialist│ Continuing our exploration of the digital tools accessible through Gale Digital Scholar Lab’s intuitive interface, the Parts-of-Speech (PoS) tool enables the researcher to gain granular insights into the different parts of speech used in each document in a content set. This post will highlight the main features … Read more

Exploring Named Entity Recognition in Gale Digital Scholar Lab

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│By Sarah L. Ketchley, Senior Digital Humanities Specialist│

One of six embedded tools in Gale Digital Scholar Lab, Named Entity Recognition (NER) processes Optical Character Recognition (OCR) text data and captures information about a range of words defined as ‘entities’, detailed below. The tool is ideally suited for text-based analysis, including text encoding and mapping. This blog post will discuss some of the highlights of the Lab’s NER tool, and things to bear in mind when creating an analysis configuration. We’ll finish with a couple of sample use cases to inspire your own NER analysis.

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Re-imagining Assignments in the DH Classroom II: Timelines, Digital Exhibits, and Maps

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│By Sarah L. Ketchley, Senior Digital Humanities Specialist│

This is a follow-up blog post to last month’s overview of working with Storymaps in the DH classroom.  We will consider a few more ways to engage students in the creative and intellectually rigorous process of building Digital Humanities projects, conducting analyses, and demonstrating the outcomes of a quarter or semester’s-worth of work. Developing timelines, exhibits and maps involves making use of Gale Digital Scholar Lab’s export functionality, which includes the ability to download:

  • The OCR text output of up to 5,000 documents in any given content set.
  • The full metadata of a content set, up to 10,000 documents.
  • Individual document images.
  • Analysis visualisations in multiple image formats.
  • Analysis raw data in CSV or JSON formats.
  • Documentation and records completed using the Notebook feature, in multiple text formats.

This exported information can then be used as the underlying data for a variety of interactive and public-facing student assignments. 

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Re-imagining Assignments in the DH Classroom: StoryMaps

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│By Sarah L. Ketchley, Senior Digital Humanities Specialist│

It’s back-to-school season, and the next two ‘Notes from Our DH Correspondent’ blog posts will focus on non-traditional assignments in the DH classroom. Often, Humanities classes culminate in a final paper or essay which is a worthwhile exercise in sifting through relevant information to answer a question or propose a thesis. A syllabus that incorporates Digital Humanities methodologies, however, often blends subject content with technical and analytic proficiencies, meaning an essay may not be the best medium to showcase student learning in this scenario. Below we consider tools for digital storytelling which blend text, image, and analysis results to create engaging and interactive assignment outputs.

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Understanding Recent Enhancements to Sentiment Analysis in Gale Digital Scholar Lab

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│By Sarah L. Ketchley, Senior Digital Humanities Specialist│

Sentiment Analysis can be described as an exploratory form of analysis that reveals trends or patterns in positive, negative or neutral sentiment of a collected set of documents (a ‘Content Set’). This type of analysis can identify avenues for further research or investigation at both a macro (Content Set) and micro (document) level.1 Sentiment Analysis is one of the six analysis tools available in Gale Digital Scholar Lab where it was recently updated to include an expanded sentiment lexicon which offers opportunities to further refine analysis results. This blog post will discuss these enhancements and offer suggested pathways to work with Sentiment Analysis both in the classroom and for research.

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