Tag: digital humanities

wikipedia_id:3900832:en;wikidata_id:Q1026962:en

Worthäufigkeiten als Quelle für die Geschichtswissenschaft? – Einblicke in die Digital Humanities

Worthäufigkeiten als Quelle für die Geschichtswissenschaft? – Einblicke in die Digital Humanities

Introduction: Especially humanities scholars (not only historians) who have not yet had any contact with the Digital Humanities, Silke Schwandt offers a motivating and vivid introduction to see the potential of this approach, using the analysis of word frequencies as an example. With the help of Voyant Tools and Nopaque, she provides her listeners with the necessary equipment to work quantitatively with their corpora. Schwandt’s presentation, to which the following report by Maschka Kunz, Isabella Stucky and Anna Ruh refers, can also be viewed at https://www.youtube.com/watch?v=tJvbC3b1yPc.

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Offen, vielfältig und kreativ. Ein Bericht zum Barcamp Data Literacy #dhddatcamp20 bei der DHd 2020 | DHd-Blog

Offen, vielfältig und kreativ. Ein Bericht zum Barcamp Data Literacy #dhddatcamp20 bei der DHd 2020 | DHd-Blog

Introduction: What are the essential data literacy skills data literacy skills in (Digital) Humanities? How good data management practices can be translated to humanities disciplines and how to engage more and more humanists in such conversations? Ulrike Wuttke’s reflections on the “Vermittlung von Data Literacy in den Geisteswissenschaften“ barcamp at the DHd 2020 conference does not only make us heartfelt nostalgic about scholarly meetings happening face to face but it also gives in-depth and contextualized insights regarding the questions above. The post comes with rich documentation (including links to the barcamp’s metapad, tweets, photos, follow-up posts) and is also serve as a guide for organizers of barcamps in the future.

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MARKUS – Comprehensive tool with the needs of non-Latin script users in mind

MARKUS – Comprehensive tool with the needs of non-Latin script users in mind

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.

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Exposing legacy project datasets in Digital Humanities | King’s Digital Lab

Exposing legacy project datasets in Digital Humanities | King’s Digital Lab

Introduction: Issues around sustaining digital project outputs after their funding period is a recurrent topic on OpenMethods. In this post, Arianna Ciula introduces the King’s Digital Lab’s solution, a workflow around their CKAN  (Comprehensive Knowledge Archive Network) instance, and uncovers the many questions around not only maintaining a variety of legacy resources from long-running projects, but also opening them up for data re-use, verification and integration beyond siloed resources.

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Research COVID-19 with AVOBMAT

Research COVID-19 with AVOBMAT

Introduction: In our guidelines for nominating content, databases are explicitly excluded. However, this database is an exception, which is not due to the burning issue of COVID-19, but to its exemplary variety of digital humanities methods with which the data can be processed.AVOBMAT makes it possible to process 51,000 articles with almost every conceivable approach (Topic Modeling, Network Analysis, N-gram viewer, KWIC analyses, gender analyses, lexical diversity metrics, and so on) and is thus much more than just a simple database – rather, it is a welcome stage for the Who is Who (or What is What?) of OpenMethods.

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Mining ethnicity: Discourse-driven topic modelling of immigrant discourses in the USA, 1898–1920

Mining ethnicity: Discourse-driven topic modelling of immigrant discourses in the USA, 1898–1920

Introduction: The article illustrates the application of a ‘discourse-driven topic modeling’ (DDTM) to the analysis of the corpus ChronicItaly comprising several newspapers in Italian language, appeared in the USA during the time of massive migration towards America between the end of the XIX century and the first two decades of the XX (1898-1920).

The method combines both Text Modelling (™) and the discourse-historical approach (DHA) in order to get a more comprehensive representation of the ethnocultural and linguistic identity of the Italian group of migrants in the historical American context in crucial periods of time like that immediately preceding the eruption and that of the unfolding of World War I.

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Web Scraping with Python for Beginners | The Digital Orientalist

Web Scraping with Python for Beginners | The Digital Orientalist

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.

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DH Research Software Engineers – For We Are Many

DH Research Software Engineers – For We Are Many

Introduction: This white paper is an outcome of a DH2019 workshop dedicated to foster closer collaboration among technology-oriented DH researchers and  developers of tools to support Digital Humanities research. The paper briefly outlines the most pressing issues in their collaboration and addresses topics such as: good practices to ease mutual understanding between scholars and researchers; software development and academic career and recognition; or sustainability and funding.

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Analyzing Documents with TF-IDF | Programming Historian

Analyzing Documents with TF-IDF | Programming Historian

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.

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