While there are supervised NLP methods, where a model is trained on pre-labeled data to classify unseen data, the criteria of having pre-labeled data is often not met. This leads to the implementation of unsupervised NLP methods, where data is unlabeled and the models explore latent structure throughout the analysis.
These unsupervised methods position the researcher as an evaluator, removing them almost entirely from the decision-making process. In this talk I will discuss the NLP methods that are commonly employed for text-based qualitative data analysis and explore the different frameworks for positioning the human as a source of knowledge during the decision-making process.
Amanda Jean Bowerman is Doctoral Research Fellow at Center for Interdisciplinary Education (INTED).
We will serve refreshments, coffee and tea. Welcome!
The bi-weekly ODD seminar series at CCSE
The Open Discussions on Didactics (ODD) is a seminar series usually on Thursdays at 13:00-14:00 every other week (odd week numbers) at CCSE.
The seminar will be maximum one hour, often closer to half an hour. It is an informal arena to present and discuss learning theory, educational research and teaching experiences within computational science. To cater to the highly heterogeneous backgrounds and interests of students, teachers and researchers in our environment, we aim for seminars that introduce listeners to new ideas within a broad spectrum of aspects, and that invites reflection and discussion.
Presentations need not be mature and polished - to the contrary we hope that as many as possible wants to share undigested observations and reflections in short presentations of varied form and topics. We hope to have enough contributions to frequently have the meetings as lightning talk sessions, where three different speakers will each give a 5-10-minute presentation followed by discussion.