DH Correspondent

Exploring Sentiment in Historical Texts With Gale Digital Scholar Lab’s New “Sentiment by Timeframe” Visualisation

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

Gale Digital Scholar Lab has introduced a new visualisation feature in the Sentiment Analysis tool: Sentiment by Timeframe. This enables researchers to bring additional depth to sentiment analysis for historical texts. This tool is part of an ongoing effort to expand the capabilities of the Lab’s six digital humanities tools and is designed to support researchers in analysing, interpreting, and visualising data across various historical documents.

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A Classroom Compendium: Digital Humanities Resources for a New School Year

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

For the start of a new academic year, this month’s Notes from our DH Correspondent blog post is a useful resource indexing all the Notes posts to date. They are categorised below to support instructors to plan, build and deliver classroom DH curricula.  This is a great page to bookmark!

Each resource can be supplemented with detailed material in the Learning Center in Gale Digital Scholar Lab which provides step-by-step instructions in written and video formats, covering every aspect of working in the platform. 

Need additional support? Our DH team will be happy to answer your questions! Just email us at [email protected]

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Bridging the Gap: Gale Primary Sources and Gale Digital Scholar Lab

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

This month’s blog post will discuss how to start the work of sourcing research documents in Gale Primary Sources (GPS) archives, before transitioning seamlessly to Gale Digital Scholar Lab to create content sets, clean OCR text data, and conduct analyses of this material to answer research questions. With this methodology, researchers are able to use the rich contextual detail and varied navigation options to begin compiling their corpus of text data outside of the Lab, which can be an attractive option if the user has an existing working knowledge of specific GPS archives, such as The Times Digital Archive, Women’s Studies Archive, or Nineteenth Century Collections Online.

There is a standardised user experience across GPS and the Lab, making the transition from one to the other familiar and streamlined. However, there are options to view documents in GPS that aren’t yet available in the Lab, which may make combining both access points useful so that no document slips through the cracks!

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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 of the tool and provide tips about setup and options for displaying and refining analysis results. We’ll wrap up with a few examples of this quantitative analysis method used in research projects and publications.

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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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