https://openmethods.dariah.eu/2022/05/11/open-source-tool-allows-users-to-create-interactive-timelines-digital-humanities-at-a-state/ OpenMethods introduction to: Collaborative Digital Projects in the Undergraduate Humanities Classroom: Case Studies with Timeline JS 2022-05-11 07:28:36 Marinella Testori Blog post Creation Data Designing Digital Humanities English Methods…
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: This blog post by Lucy Havens presents a sentiment analysis of over 2000 Times Music Reviews using freely available tools: defoe for building the corpus of reviews, VADER for sentiment analysis and Jupiter Notebooks to provide a rich documentation and to connect the different components of the analysis. The description of the workflow comes with tool and method criticism reflections, including an outlook how to improve and continue to get better and more results.
In the next Spotlights episode, we are looking behind the scenes of TaDiRAH with Dr. Luise Borek and Dr. Canan Hastic who give us a rich introduction to the new version of it. We discuss communities around TaDiRAH, the evolution of DH, open data culture, linking with Wikidata…and many more!
Introduction: The DraCor ecosystem encourages various approaches to the browsing and consultation of the data collected in the corpora, like those detailed in the Tools section: the Shiny DraCor app (https://shiny.dracor.org/), along with the SPARQL queries and the Easy Linavis interfaces (https://dracor.org/sparql and https://ezlinavis.dracor.org/ respectively). The project, thus, aims at creating a suitable digital environment for the development of an innovative way to approach literary corpora, potentially open to collaborations and interactions with other initiatives thanks to its ontology and Linked Open data-based nature.
[Click ‘Read more’ for the full post!]
Introduction: the RIDE journal (the Review Journal of the Institute for Documentology and Scholarly Editing) aims to offer a solution to current misalignments between scholarly workflows and their evaluation and provides a forum for the critical evaluation of the methodology of digital edition projects. This time, we have been cherry picking from their latest issue (Issue 11) dedicated to the evaluation and critical improvement of tools and environments.
Ediarum is a toolbox developed for editors by the TELOTA initiative at the BBAW in Berlin to generate and annotate TEI-XML Data in German language. In his review, Andreas Mertgens touches upon issues regarding methodology and implementation, use cases, deployment and learning curve, Open Source, sustainability and extensibility of the tool, user interaction and GUI and of course a rich functional overview.
[Click ‘Read more’ for the full post!]
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: In this article, José Calvo Tello offers a methodological guide on data curation for creating literary corpus for quantitative analysis. This brief tutorial covers all stages of the curation and creation process and guides the reader towards practical cases from Hispanic literature. The author deals with every single step in the creation of a literary corpus for quantitative analysis: from digitization, metadata, automatic processes for cleaning and mining the texts, to licenses, publishing and achiving/long term preservation.
Introduction: Hosted at the University of Lausanne, “A world of possibilities. Modal pathways over an extra-long period of time: the diachrony in the Latin language” (WoPoss) is a project under development exploiting a corpus-based approach to the study and reconstruction of the diachrony of modality in Latin.
Following specific annotation guidelines applied to a set of various texts pertaining to the time span between 3rd century BCE and 7th century CE, the work team lead by Francesca Dell’Oro aims at analyzing the patterns of modality in the Latin language through a close consideration of lexical markers.
The StandforCore NLP wishes to represent a complete Java-based set of tools for various aspects of language analysis, from annotation to dependency parsing, from lemmatization
to coreference resolution. It thus provides a range of tools which
can be potentially applied to other languages apart from English.
Among the languages to which the StandfordCore NLP is mainly applied there is Italian, for which the Tint pipeline has been developed as described in the paper “Italy goes to Stanford: a collection of CoreNLP modules for Italian” by Alessio Palmero Apostolo and Giovanni Moretti.
On the Tint webpage the whole pipeline can be found and downloaded: it comprises tokenization and sentence splitting, morphological analysis and lemmatization, part-of-speech tagging, named-entity recognition and dependency parsing, including wrappers under construction. [Click ‘Read more’ for the whole post.]