You will need a computer with sufficient resources (at least 8GB RAM and 20GB free disk space) to be able to install Annif and complete the exercises. Installation of Annif is one topic of the exercises.
Note also that it might be convenient to have either Docker or VirtualBox installed beforehand. When using Docker desktop (Windows), you might want to increase the available memory for it to 8GB under Settings -> Advanced.
Getting the tutorial materials
To complete the exercises of this tutorial, you will need a local copy of the materials, especially the data sets (unless you use the pre-built VirtualBox VM, which includes them). The easiest way to get them is to either clone this repository or download it as a zip archive from GitHub (click the green "Code" button near the top for clone and download options).
When you have the files locally, you also need to download the example
full text documents for either or both data sets. The downloads are automated using
make - see the README files for both data sets
(yso-nlf, stw-zbw) for details.
Online help sessions 2021
From time to time, we organize online help sessions for people working on the tutorial exercises. To register, you must have watched the videos and at least attempted to complete the exercises. Current schedule:
- SWIB21 conference workshop/tutorial
- November 30 2021 (NB! Fully booked)
- Les Futurs Fantastiques conference workshop/tutorial
- December 7 2021
The sessions are held remotely. More information about upcoming events to be announced soon.
Past online help sessions
- Annif tutorial / workshop (NB! Event in Finnish)
- May 19 2021
- Metadata workshop by Humlab (Umeå University)
- June 9 2021
- Baltic Summer School of Digital Humanities 2021: "Digital Methods in Humanities and Social Sciences"
- Annif workshop August 25 2021
- DCMI Virtual post-conference tutorial
- Friday October 9 2020
- Wednesday October 21 2020
- SWIB20 conference workshop/tutorial
- Tuesday November 24 2020
The sessions were held remotely. The number of participants was capped for practical reasons.
The tutorial material was created by:
- Osma Suominen, National Library of Finland
- Mona Lehtinen, National Library of Finland
- Juho Inkinen, National Library of Finland
- Anna Kasprzik, ZBW - Leibniz Information Centre for Economics
- Moritz Fürneisen, ZBW - Leibniz Information Centre for Economics
The materials created for this tutorial (presentations and exercises) are licensed under a Creative Commons Attribution 4.0 International License.
The data sets were collected from other sources and have their own licensing; see each individual data set for details.