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.
Introduction: Ecologists are much aided by historical sources of information on human-animal interaction. But how does one cope with the plethora of different descriptions for the same animal in the historic record? A Dutch research group reports on how to aggregate ‘Bunzings’, ‘Ullingen’, and ‘Eierdieven’ (‘Egg-thieves’) into a useful historical ecology knowledge base.
Introduction: The article discusses how letters are being used across the disciplines, identifying similarities and differences in transcription, digitisation and annotation practices. It is based on a workshop held after the end of the project Digitising experiences of migration: the development of interconnected letters collections (DEM). The aims were to examine issues and challenges surrounding digitisation, build capacity relating to correspondence mark-up, and initiate the process of interconnecting resources to encourage cross-disciplinary research. Subsequent to the DEM project, TEI templates were developed for capturing information within and about migrant correspondence, and visualisation tools were trialled with metadata from a sample of letter collections. Additionally, as a demonstration of how the project’s outputs could be repurposed and expanded, the correspondence metadata that was collected for DEM was added to a more general correspondence project, Visual Correspondence.
Introduction: In the context of medieval and early Tudor texts scholarship, this paper discusses the methodological use of the database not simply to store information, but to clarify points of tension between the questions asked and the information provided in order to find answers.
Introduction: The post discusses the challenges that traditional philological approach has to face in creating digital corpora of critical editions of nonvernacular medieval works.