OpenMethods Spotlights showcase people and epistemic reflections behind Digital Humanities tools and methods. You can find here brief interviews with the creator(s) of the blogs or tools that are highlighted on OpenMethods to humanize and contextualize them. In the first episode, Alíz Horváth is talking with Hilde de Weerdt at Leiden University about MARKUS, a tool that offers offers a variety of functionalities for the markup, analysis, export, linking, and visualization of texts in multiple languages, with a special focus on Chinese and now Korean as well.
East Asian studies are still largely underrepresented in digital humanities. Part of the reason for this phenomenon is the relative lack of tools and methods which could be used smoothly with non-Latin scripts. MARKUS, developed by Brent Ho within the framework of the Communication and Empire: Chinese Empires in Comparative Perspective project led by Hilde de Weerdt at Leiden University, is a comprehensive tool which helps mitigate this issue. Selected as a runner up in the category “Best tool or suite of tools” in the DH2016 awards, MARKUS offers a variety of functionalities for the markup, analysis, export, linking, and visualization of texts in multiple languages, with a special focus on Chinese and now Korean as well.
Introduction: GROBID is an already well-known open source tool in the field of Digital Humanities, originally built to extract and parse bibliographical metadata from scholarly works. The acronym stands for GeneRation Of BIbliographic Data.
Shaped by use cases and adoptions to a range of different DH and non-DH settings, the tool has been progressively evolved into a suite of technical features currently applied to various fields, like that of journals, dictionaries and archives.
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Introduction: In this blog post, James Harry Morris introduces the method of web scraping. Step by step from the installation of the packages, readers are explained how they can extract relevant data from websites using only the Python programming language and convert it into a plain text file. Each step is presented transparently and comprehensibly, so that this article is a prime example of OpenMethods and gives readers the equipment they need to work with huge amounts of data that would no longer be possible manually.
Introduction: The indispensable Programming Historian comes with an introduction to Term Frequency – Inverse Document Frequency (tf-idf) provided by Matthew J. Lavin. The procedure, concerned with specificity of terms in a document, has its origins in information retrieval, but can be applied as an exploratory tool, finding textual similarity, or as a pre-processing tool for machine learning. It is therefore not only useful for textual scholars, but also for historians working with large collections of text.
Introduction: Studying n-grams of characters is today a classical choice in authorship attribution. If some discussion about the optimal length of these n-grams have been made, we have still have few clues about which specific type of n-grams are the most helpful in the process of efficiently identifying the author of a text. This paper partly fills that gap, by showing that most of the information gained from studying n-grams of characters comes from the affixes and punctuation.
Introduction: This article assesses the issue of personalisation in internet research, raising important issues of how should we interpret users’ choices and how to account for the potential platform-design influence in your research workflow.
Introduction: With Web archives becoming an increasingly more important resource for (humanities) researchers, it also becomes paramount to investigate and understand the ways in which such archives are being built and how to make the processes involved transparent. Emily Maemura, Nicholas Worby, Ian Milligan, and Christoph Becker report on the comparison of three use cases and suggest a framework to document Web archive provenance.
Introduction: This article proposes establishing a good collaboration between FactMiners and the Transkribus project that will help the Transkribus team to evolve the “sustainable virtuous” ecosystem they described as a Transcription & Recognition Platform — a Social Machine for Job Creation & Skill Development in the 21st Century!
Introduction: This article explains the concept, the uses and the procedural steps of text mining. It further provides information regarding available teaching courses and encourages readers to use the OpenMinTeD platform for the purpose.