Applying Computational Analysis to Textual Data from the Wild - A Feminist Perspective

Explore a conference talk that examines the application of computational analysis to textual data from a feminist perspective. Delve into the challenges of processing large-scale qualitative data in HCI research and discover how unsupervised topic models can support feminist geography's goal of understanding diverse experiences of place. Learn about a case study analysis of Volunteered Geographic Information on breastfeeding in public spaces, demonstrating how topic modeling can provide novel insights into complex concepts like privacy. Gain insights into integrating critically reflexive feminist data analysis approaches to capture and represent varied experiences. The talk covers introduction, methodological questions, data sources, topic modeling, Index of Multiple Deprivation, and concludes with a summary of findings.

Introduction
A question of methods
Data sources
Topic modeling
Index of Multiple Deprivation
In summary