Workshop: Visual Network Analysis for Humanities Research on 15 June 2026
In June 2026, we are organising an all-day workshop for humanities and social science scholars about how to extract named entities from any text corpus. Basic knowledge of Python programming is prerequisite.
Participation at the workshop is free of charge.
Visual Network Analysis for Humanities Research: Extracting Insights from Historical and Literary Corpora
- Description: Humanities scholars routinely work with corpora that are too large to read exhaustively yet too rich to reduce to simple keyword searches. This workshop introduces a practical computational pipeline for extracting named entities from any text corpus, linking them to structured external knowledge bases, and visualizing the resulting network interactively to find interesting insights. The workshop is instructor-led and demonstration-based, running through a Google Colab notebook that participants can take away and reuse on their own material.
- Date and time: 15 June, 9.00 – 15.00
- Location: Faculty of Computer and Information Science (Večna pot 113, Ljubljana)
- Instructor: Dr. Karim El Haff
- Duration: 6 x 45 minutes (3 hour tutorial + 3 hour hands-on)
- Level/difficulty: Intermediate, basic knowledge of Python programming is prerequisite.
- Language of the workshop: English
- Outcomes and skills gained:
- Understand what named entity recognition and named entity linking are and know the role of each in a text analysis pipeline
- Use large language models to extract and disambiguate named entities from historical and domain-specific text
- Read and interpret a simple network graph as a research instrument for finding insights
- Identify at least one research question in their own work that this approach could illuminate