Erik Tjong Kim Sang
Orange Hackathon
Orange modules for text processing in the project What Works When for Whom
- Jupyter Notebook
- Python
- CSS
- + 2
H-gear
This tool analyzes the transmission of political ideas during the American Revolution. It enables users to track shifts in concepts in letter correspondence networks, using semi-supervised topic modeling and temporal social network modeling to reveal ideological shifts and identify key influencers.
- American Revolution
- semi-supervised topic modeling
- social network analysis
- + 2
- R
- Python
- Batchfile
SSIML2021
Software developed in the project Automation of the Cognitive Mapping Text-analysis Technique
- Machine learning
- Text analysis & natural language processing
- Jupyter Notebook
- Python
REE-HDSC
Software developed in the project REE-HDSC (Recognizing Extracted Entities for the Historical Database Suriname Curacao, 2023-2024) of the Radboud University Nijmegen and the Netherlands eScience Center.
- hand-written text recognition
- named entity Recognition
- Jupyter Notebook
- Python
- HTML
Enriching Digital Heritage (pre-workshop)
Software related to the startup phase of the project Enriching Digital Heritage
- cultural heritage
- large language models
- named entity linking
- + 1
- Python
Data Processing (What Works When for Whom)
Data processing scripts for the project What Works When for Whom
- Jupyter Notebook
- Python
- Shell