Introduction: in this study, Cebral Loureda analyzes how will and desire are conveyed in: Ethics, by Spinoza; The Phenomenology of Spirit, by Hegel; The World as Will and Representation, by Schopenhauer; and Thus spoke Zarathustra, by Nietzsche. With the idea of determining theses texts’ degree of cohesion, the author follows a computational and quantitative methodology to compare and contrast them, as well as assess their internal contradictions. A normalized corpus, statistics and visualizations are employed so as to evaluate the terminology, topoi and sentimentality of these works. In relation to terminology, author’s findings revealed that Nietzsche uses a highly differentiated vocabulary from that of the other philosophers, adding marked emotional connotations to his discourse. Visualizations showed the terminological commonalities between Hegel and Schopenhauer and shed light on the former bearing the highest number of semantic connections with the other philosophers. As for topoi, results showed there is a clear dichotomic tension between conceptual and vital experience in the studied documents. Redefining this dualism, however, Cebral Loureda observed that the concrete is always intertwined with the abstract and vice versa. Regarding the sentimental dimension of these works, examination unveiled that Nietzsche’s presents the greatest negative sentimental load. In contrast, Spinoza’s is the most emotionally balanced. With all this, Cebral Loureda proves that there is a high degree of cohesion among these philosophical works, which link reason and emotion to will, time and spirit, core notions of modern philosophy and society.
Introduction by OpenMethods Editor (Erzsébet Tóth-Czifra): Research on date extractions from literature brings us closer to answering big questions of “when literature takes place”. As Frank Fischer’s blog post, First of May in German literature shows, beyond mere quantification, this line of research also yields insights on the cultural significance of certain dates. In this case, the significance of 1st of May in German literature (as reflected in the “Corpus of German-Language Fiction” dataset) was determined with the help of a freely accessible data set and the open access tool HeidelTime. The brief description of the workflow is a smart demonstration of the potential of open DH methods and data sharing in sustainable ways.
Bonus one: the post starts out from briefly touching upon some of Frank’s public humanities activities.
Bonus two: mention of the Tiwoli (“Today in World Literature”) app, a fun side product built on to pof the date extraction research.
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.
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.
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: 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.
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.
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.
This short blog post by Laure Barbot, Frank Fischer, Yoan Moranville, and Ivan Pozdniakov from 2019 sheds some light on the old question which DH-tools are actually used in research and which are especially popular.
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.