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Theme: Machine Reading the Archive

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13 matching courses


The Library as Data new Mon 15 Oct 2018   13:30 Finished

Discover the rich digital collections of Cambridge University Library and explore the methods and tools that researchers are using to analyse and visualise data.

Creating Databases from Historical Sources (Workshop) Mon 25 Feb 2019   11:00 Finished

This workshop will examine strategies for transforming a variety of sources into structured digital data, ranging from crumbling manuscripts to printed documents and books.

Optical Character Recognition is a term used to describe techniques for converting images containing printed or handwritten text into a format that can be searched and analysed computationally. This workshop will introduce several such tools along with some practical techniques for using them, and will also highlight OCR and related services offered by the Digital Content Unit at the Cambridge University Library.

Introduction to Text-Mining with Python 2 new Tue 7 May 2019   11:00 Finished

This session will introduce topic modelling. Topic modelling is looking for clusters of words that summarise the meaning of documents. We will talk about how to choose what sort of text mining you might want for your research. Some knowledge of Python is required, as gained from 'Introduction to Text-Mining with Python 1', or equivalent. No installations will be needed; we will use web services available in your browser to follow along with the examples.

Introduction to Text-Mining with Python 1 new Tue 30 Apr 2019   11:00 Finished

This session will introduce basic methods for reading and processing text files in Python. We will walk through an example that reads in a large text corpus, splits it into tokens (words) and sentences, removes unwanted words (stopwords), counts the words (frequency analysis), and visualises results. We will talk about the 5 steps of text mining and what resources to use when learning text mining for your research in your own time. No prior knowledge of Python is required, and no installations will be needed. We will use web services available in your browser to follow along.

Sources to Data (Workshop) Wed 5 Jun 2019   11:00 Finished

This workshop will examine database creation from historical documents. Extracting data from these can be hard work and involves quite unusual skill combinations. You may need to digitise and transcribe from primary sources, and then design and build a database from scratch with the information. Other sources you use could already be digitised but may be arranged or filed in an unsuitable way for your project and therefore need conversion. We will look at techniques used when employing crumbling manuscripts, printed documents, books, or text searchable images, to harvest historical data. Techniques include manual data-entry, scanning and OCR, and handwritten text recognition systems.

Digital Mapping for Historians new Wed 26 Jun 2019   09:30 Finished

This intensive workshop will provide an overview of a range of applications of digital mapping in historical research projects and introduce GIS tools and software.

Letters have been for centuries the main form of communication between scientists. Correspondence collections are a unique window into the social networks of prominent historical figures. What can digital social sciences and humanities reveal about the correspondence networks of 19th century scientists? This two-session intensive workshop will give participants the opportunity to explore possible answers to this question.

With the digitisation and encoding of personal letters, researchers have at their disposal a wealth of relational data, which we propose to study through social network analysis (SNA). The workshop will be divided in two sessions during which participants will “learn by doing” how to apply SNA to personal correspondence datasets. Following a guided project framework, participants will work on the correspondence collections of John Herschel and Charles Darwin. After a contextual introduction to the datasets, the sessions will focus on the basic concepts of SNA, data transformation and preparation, data visualisation and data analysis, with particular emphasis on “ego network” measures.

The two demonstration datasets used during the workshop will be provided by the Epsilon project, a research consortium between Cambridge Digital Library, The Royal Institution and The Royal Society of London aimed at building a collaborative digital framework for 19th century letters of science. The first dataset, the “Calendar of the Correspondence of Sir John Hershel Database at the Adler Planetarium”, is a collection of the personal correspondence of John Frederick William Herschel (1792-1871), a polymath celebrated for his contributions to the field of astronomy. Its curation process started in the 50s at the Royal Society and currently comprises 14.815 digitised letters encoded in extensible markup language (.xml) format. The second dataset, the “Darwin Correspondence Project” has been locating, researching, editing and publishing Charles Darwin’s letters since 1974. In addition to a 30-volume print edition, the project has also made letters available in .xml format.

The workshop will provide a step-by-step guide to analysing correspondence networks from these collections, which will cover:

- Explanation of the encoding procedures and rationale following the Text Encoding Initiative guidelines; - Preparation and transformation of .xml files for analysis with an open source data wrangler; - Rendering of network visualisations using an open source SNA tool; - Analysis of the Ego Networks of John Herschel and Charles Darwin (requires UCINET)

About the speakers and course facilitators:

Anne Alexander is Director of Learning at Cambridge Digital Humanities

Hugo Leal is Methods Fellow at Cambridge Digital Humanities and Co-ordinator of the Cambridge Data School

Louisiane Ferlier is Digital Resources Manager at the Centre for the History of Science at the Royal Society. In her current role she facilitates research collaborations with the Royal Society collections, curates digital and physical exhibitions, as well as augmenting its portfolio of digital assets. A historian of ideas by training, her research investigates the material and intellectual circulation of ideas in the 17th and 18th centuries.

Elizabeth Smith is the Associate Editor for Digital Development at the Darwin Correspondence Project, where she contributed to the conversion of the Project’s work into TEI several years ago, and has since been collaborating with the technical director in enhancing the Darwin Project’s data. She is one of the co-ordinators of Epsilon, a TEI-based portal for nineteenth-century science letters.

No knowledge of prior knowledge of programming is required, instructions on software to install will be sent out before the workshop. Some exercises and preparation for the second session will be set during the first and participants should allow 2-3 hours for this. Please note, priority will be given to staff and students at the University of Cambridge for booking onto this workshop.

CDH Learning gratefully acknowledges the support of the Isaac Newton Trust and the Faculty of History for this workshop.

The Library as Data: Digital Text Markup and TEI new Wed 23 Oct 2019   11:00 Finished

Text encoding, or the addition of semantic meaning to text, is a core activity in digital humanities, covering everything from linguistic analysis of novels to quantitative research on manuscript collections. In this session we will take a look at the fundamentals of text encoding – why we might want to do it, and why we need to think carefully about our approaches. We will also introduce the TEI (Text Encoding Initiative), the most commonly used standard for markup in the digital humanities, and look at some common research applications through examples.

Correspondence collections are a unique window into the social networks of prominent historical figures. With the digitisation and encoding of personal letters, researchers have at their disposal a wealth of relational data, which can be studied using social network analysis.

This session will introduce and demonstrate foundational concepts, methods and tools in social network analysis using datasets prepared from the Darwin Correspondence collection. Topics covered will include

  • Explanation of the encoding procedures and rationale following the Text Encoding Initiative guidelines
  • Preparation and transformation of .xml files for analysis with an open source data wrangler
  • Rendering of network visualisations using an open source SNA tool

No knowledge of prior knowledge of programming is required, instructions on software to install will be sent out before the session

The Library as Data: An overview new Wed 16 Oct 2019   11:00 Finished

Is the "digital library" more than a virtual rendering of the bookshelf or filing cabinet? Does the transformation of books into bytes and manuscripts into pixels change the way we create and share knowledge? This session introduces a conceptual toolkit for understanding the library collection in the digital age, and provides a guide to key methods for accessing, transforming and analysing the contents as data. Using the rich collections of Cambridge University Library as a starting point, we will explore:

  • Relations between digital and material texts and artefacts
  • Definitions of data and metadata
  • Methods for accessing data in bulk from digital collections
  • Understanding file formats and standards

The session will also provide an overview of the content in the rest of the term’s Library as Data programme, and introduce our annual call for applications to the Machine Reading the Archive Projects mentoring scheme.

This session focusses on providing photography skills for those undertaking archival research. Dr Oliver Dunn has experience spanning a decade filming documents for major academic research projects. He will go over practical approaches to finding and ordering materials in the archive, methods of handling and filming them, digital file storage, and transcription strategies. The focus is very much on low-tech approaches and small budgets. We’ll consider best uses of smartphones, digital cameras and tripods. The session is held in the IT training room at the University Library.

Recent advances in machine learning are allowing computer vision and humanities researchers to develop new tools and methods for exploring digital image collections. Neural network models are now able to match, differentiate and classify images at scale in ways which would have been impossible a few years ago. This session introduces the IIIF image data framework, which has been developed by a consortium of the world’s leading research libraries and image repositories, and demonstrates a range of different machine learning- based methods for exploring digital image collections. We will also discuss some of the ethical challenges of applying computer vision algorithms to cultural and historical image collections. Topics covered will include:

  • Unlocking image collections with the IIIF image data framework
  • Machine Learning: a very short introduction
  • Working with images at scale: ethical and methodological challenges
  • Applying computer vision methods to digital collections
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