MASSHINE conference- SSH as a one click method: Text Unit Tool (TUT): An open-source tool for archiving and exploration of large-scale text data
Published in , 2025
Published in , 2025
Published in , 2024
Published in , 2024
Published in , 2024
Published in , 2024
Published in , 2024
Published in , 2024
Published in , 2024
Published in , 2023
Published in , 2023
Can we enable direct interviewing of a qualitative corpus through Generative AI to prolong ethnographic encounters?
Published in , 2023
The most common application of machine learning in small and medium-sized enterprises (SMEs) is the automation of routine tasks based on quantitative data, an area where Danish SMEs excel as European leaders. Concurrently, these enterprises are producing and archiving increasingly large volumes of unconventional, qualitative material related to activities that are neither routine nor quantifiable. It can be difficult for companies to envision how working with this type of data can be profitable. The project involves trying to expanding the companies’ notions of what data is and how it can be processed. Through various case studies, the project demonstrates how companies can broaden their data imagination by engaging in experiments with data and machine learning.
Published in , 2023
The most common application of machine learning in small and medium-sized enterprises (SMEs) is the automation of routine tasks based on quantitative data, an area where Danish SMEs excel as European leaders. Concurrently, these enterprises are producing and archiving increasingly large volumes of unconventional, qualitative material related to activities that are neither routine nor quantifiable. It can be difficult for companies to envision how working with this type of data can be profitable. The project involves trying to expanding the companies’ notions of what data is and how it can be processed. Through various case studies, the project demonstrates how companies can broaden their data imagination by engaging in experiments with data and machine learning.
Published in , 2023
Published in , 2022