Why Didn’t You Listen to Me? Comparing User Control of
Human-in-the-Loop Topic Models
Abstract
To address the lack of comparative evaluation of Human-in-the-Loop Topic Modeling
(HLTM) systems, we implement and evaluate
three contrasting HLTM modeling approaches
using simulation experiments. These approaches extend previously proposed frameworks, including constraints and informed
prior-based methods. Users should have a
sense of control in HLTM systems, so we propose a control metric to measure whether re-
finement operations’ results match users’ expectations. Informed prior-based methods provide better control than constraints, but constraints yield higher quality topics