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.

The Uncanny Valley and the Ghost in the Machine

The Uncanny Valley and the Ghost in the Machine

Introduction: There is a postulated level of anthropomorphism where people feel uncanny about the appearance of a robot. But what happens if digital facsimiles and online editions become nigh indistinguishable from the real, yet materially remaining so vastly different? How do we ethically provide access to the digital object without creating a blindspot and neglect for the real thing. A question that keeps digital librarian Dot Porter awake and which she ponders in this thoughtful contribution.

Modernes Tool für alte Texte

Modernes Tool für alte Texte

Introduction: Computer scientists and humanists at the University of Würzburg have jointly developed a new and promising OCR tool to simplify text recognition in historical prints. “OCR4all” is freely available and works very reliably. The article describes its development and functions and leads to a well documented github repository to test the tool for yourself.

Towards Scientific Workflows and Computer Simulation as a Method in Digital Humanities – Digitale Bibliothek – Gesellschaft für Informatik e.V.

Introduction: The explore! project tests computer stimulation and text mining on autobiographic texts as well as the reusability of the approach in literary studies. To facilitate the application of the proposed method in broader context and to new research questions, the text analysis is performed by means of scientific workflows that allow for the documentation, automation, and modularization of the processing steps. By enabling the reuse of proven workflows, the goal of the project is to enhance the efficiency of data analysis in similar projects and further advance collaboration between computer scientists and digital humanists.

Not All Character N-grams Are Created Equal: A Study in Authorship Attribution – ACL Anthology

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.