Analysis Tools

Studying Colonialism in Complementary Archives: Nineteenth Century Collections Online and Decolonization

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│By Louis Venter, Gale Ambassador at the University of the Free State│

If you ask any seasoned historian what makes historical research unique, they will emphasise the crucial role of primary sources, which define and distinguish history from other forms of academic writing. In an ever-digitising world, historians can now access digital scans of genuine archival material from anywhere, eliminating the need to travel to distant archives, and making research more efficient.

Bringing together primary sources from multiple archives can enhance one’s research, and Gale Primary Sources offers two key complementary digital archives that can be used in tandem to study colonialism – Nineteenth Century Collections Online: Europe and Africa, Colonialism and Culture and Decolonization: Politics and Independence in Former Colonial and Commonwealth Territories.

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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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Delivering Impact – Launching Gale Research Showcase and Gale Digital Scholar Lab: Projects

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│By Becca Gillott and Chris Houghton, Gale Digital Scholar Lab team│

From newspaper columns to academic reports, “The Humanities in Crisis” is a common refrain. It is a widely held fear that, in societies increasingly focused on the risks and benefits of technology in the fourth industrial revolution, studying what it means to be human is seen as increasingly irrelevant.

Irrespective of these fears, the evidence indicates that the teaching of humanities is increasingly under strain in higher education. Where we are in the UK, every summer sees the closure of yet another set of humanities departments. Higher Education assessment criteria like the UK’s Research Excellence Framework and Teaching Excellence Framework have a growing focus on measuring not just the quality, but the impact of disciplines.

This focus on impact has led to interesting developments in higher education institutions as humanities departments find new ways of working and collaborating within and without the institution.

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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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Uncovering the Betrayal of J. Robert Oppenheimer with Gale Primary Sources

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│By Nicolas Turner, Gale Ambassador at Leiden University│

The release this year of Christopher Nolan’s Oppenheimer biopic has focused attention on the ‘Red Scare’ of the early 1950s in the United States, a period of history filled with all the ingredients of a thriller: double agents, secret recordings, and dramatic revelations. As Nolan’s film reminds us, however, there was also a very real human cost to the persecutions, with – in the words of the historian Ellen Schrecker – an impact on “the lives of thousands of people”.1

I have always been fascinated by this McCarthyite moment, in which the tide of history seemed to suddenly go out, leaving people stranded with beliefs that had previously been acceptable but were now framed as treasonous or worse. I was therefore thrilled to discover in Gale’s Political Extremism and Radicalism archive a treasure trove of documents that offered direct access to the experiences of those living through that dramatic moment – including, most tantalisingly of all, J. Robert Oppenheimer himself.

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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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