Erik Tjong Kim Sang
Orange Hackathon
Orange modules for text processing in the project What Works When for Whom
- (CSS)
- ("Jupyter Notebook")
- (Python)
- + 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
- (Batchfile)
- (Python)
- (R)
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
- (HTML)
- ("Jupyter Notebook")
- (Python)
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)