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

│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

│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

│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

Notes from our DH Correspondent

│By Sarah L. Ketchley, Senior Digital Humanities Specialist│ Introduction 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 … Read more

Re-imagining Assignments in the DH Classroom: StoryMaps

│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

│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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Groups and Notebooks: Using Gale Digital Scholar Lab’s latest features in the DH classroom

Notes from our DH Correspondent

│By Sarah Ketchley, Senior Digital Humanities Specialist│

The field of digital scholarship tends to be collaborative, since any given project may involve disciplinary experts, developers, librarians, archivists, and students. Management of workflow and data can be challenging unless there is careful planning from the outset about record-keeping, group working practices, the sharing of information and goals for project sustainability and longer-term archiving. These practical considerations are the same for research projects and for those built in the classroom.

The ability to create Groups was recently added as a feature to the Gale Digital Scholar Lab platform, along with a flexible ‘Notebook’ tool for documenting decisions and outcomes. This blog post will consider how Group spaces can be used to facilitate classroom project-building by students in an undergraduate classroom, using a recent course I taught in the Information School at the University of Washington as a case study. The practicalities of using the Groups/Notebook features were discussed in my previous blog post, including details about how a teacher might go about adding students to new groups within the Lab, then managing classroom workflow via record-keeping in the team’s Notebook.

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Digging into Datasets in Gale Digital Scholar Lab

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

This dataset post is a follow-up to Working with Datasets, a Primer which discussed text datasets of primary sources and explored how to access and work with them in Gale Digital Scholar Lab. Here, we’ll look at the topics of the first eight datasets in the Lab in more detail, the types of documents included in each set, and consider how a user may work with them for analysis. Our next blog post will showcase classroom-based use of the Lab’s datasets as an introductory pathway into the field of digital humanities.

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