A framework for streamlined statistical prediction using topic models

no code implementations • WS 2019 • Vanessa Glenny, Jonathan Tuke, Nigel Bean, Lewis Mitchell

In the Humanities and Social Sciences, there is increasing interest in approaches to information extraction, prediction, intelligent linkage, and dimension reduction applicable to large text corpora.

Dimensionality Reduction Topic Models