Digital Literacy

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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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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Top 10 Tips for Researching with British Literary Manuscripts Online

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British Literary Manuscripts Online interface

│By Ben Wilkinson-Turnbull, Senior Gale Ambassador at the University of Oxford│ Researching literary manuscripts is difficult. In the years following their production, primary sources have often been spread across different institutional libraries around the world. This makes accessing them complicated and expensive, particularly for early career researchers and those conscious of the impact that travelling … Read more

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

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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

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│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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Taking Your Master’s Dissertation to the Next Level: Using Gale Digital Scholar Lab for Research

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Gale Egyptology sentiment analysis

│By Tamar Atkinson, Gale Ambassador at the University of Liverpool│

Primary sources can be a great resource for Master’s dissertation research, providing a deeper understanding of history. Whilst they make handy supportive evidence to back up the points you want to make in an assessment, is there a way to take them further? Within Gale Digital Scholar Lab, you can find a whole range of data-mining visualisation tools and other resources that can allow you to bring elements of Digital Humanities methodologies into your research, through an easy, step-by-step process. This can add great insights to any work!

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An Undergraduate’s Companion: Finding Primary Sources Using Gale’s Alternative Search Tools

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Guide to ECCO with GPS

│By Georgia Winrow, Gale Ambassador at Lancaster University│

Knowing where to get started with a new undergraduate research project, coursework essay or dissertation can be a daunting task. Whether you are provided with a focus to guide your work or not, getting to grips with collecting your primary source material, reading, analysing, and working out where they fit within your work can seem overwhelming! Luckily, with the Gale Primary Sources digital archives you have a range of search tools at your disposal intended to make the process that bit easier. Through an example research project using Eighteenth Century Collections Online (ECCO), this blog post will outline alternative search tools and resources available in Gale’s digital archives, and how they can be used most effectively when carrying out your own undergraduate research.

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