Resources

• Automatic Text Recognition (ATR) - Getting Started

  EN

  Kick off your journey into Automatic Text Recognition (ATR) with our introductory tutorial video. This is the first video of a tutorial series dedicated to extracting full text from scanned images.

• Chroma Key Tutorial

  EN

  This tutorial provides a comprehensive guide on using chroma keying, or green screen effects, with the PowerDirector video editing app, showing users how to set up the app, import footage, apply the chroma key effect, and export the final video.

• Scalable Reading of Structured Data

  EN

  In this lesson, you will be introduced to ‘scalable reading’ and how to apply this workflow to your analysis of structured data.

• Introduction to Map Warper

  EN

  This lesson from Programming Historian introduces basic use of Map Warper for historical maps. It guides you from upload to export, demonstrating methods for georeferencing and producing visualizations.

• Diamond Publication and Open Science at ULiège

  EN

  In this video, presented as part of the Friday Frontiers series, Bernard Pochet traces the evolution of Open Science at the University of Liège in the early 2000s, focusing on Open Access and the implementation of a Diamond Open Access journal publishing platform (PoPuPS) and an institutional repository (ORBi).

• Interrogating a National Narrative with GPT-2

  EN

  In this lesson, you will learn how to apply a Generative Pre-trained Transformer language model to a large-scale corpus so that you can locate broad themes and trends within written text.

• The CLS INFRA Survey of Methods in Computational Literary Studies

  EN

  This resource from the CLS INFRA project offers an introduction to several research areas and issues that are prominent withinComputational Literary Studies (CLS), including authorship attribution, literary history, literary genre, gender in literature, and canonicity/prestige, as well as to several key methodological concerns that are of importance when performing research in CLS.

• Photogrammetry Tutorial

  EN

  This tutorial introduces the concept of photogrammetry and its application using the Kiri Engine, a 3D scanner app, guiding users through the process of preparing an object for scanning, capturing photos, and using Kiri Engine to create a 3D model.

• Digging for Gold - Knowledge Extraction from Text

  EN

  This three-day international training school in Knowledge Extraction from Text from the CLS Infra project offered a crash course in how to “Dig for Gold” in a corpus of texts. From Stylometry to Natural Language Processing, learners will be able to follow along using 'plug and play' tools, while also getting a brief introduction to Python and R.

• Computer Vision for the Humanities: An Introduction to Deep Learning for Image Classification (Part 1)

  EN

  This is the first of a two-part lesson introducing deep learning based computer vision methods for humanities research. Using a dataset of historical newspaper advertisements and the fastai Python library, the lesson walks through the pipeline of training a computer vision model to perform image classification.

• Computer Vision for the Humanities: An Introduction to Deep Learning for Image Classification (Part 2)

  EN

  This is the second of a two-part lesson introducing deep learning based computer vision methods for humanities research. This lesson digs deeper into the details of training a deep learning based computer vision model. It covers some challenges one may face due to the training data used and the importance of choosing an appropriate metric for your model. It presents some methods for evaluating the performance of a model.

• Regression Analysis with Scikit-learn (part 2 - Logistic)

  EN

  This lesson is the second in a two-part lesson focusing on regression analysis. It provides an overview of logistic regression, how to use Python (Scikit-learn) to make a logistic regression model, and a discussion of interpreting the results of such analysis.