Prediction and semantic trained scales: Examining the relationship between semantic responses to depression and worry and the corresponding rating scales

Abstract

This chapter focuses on using the semantic representations, consisting of a number of semantic dimensions, in multiple linear regressions to predict a numerical outcome variable. We examine whether there is a statistically significant relationship between texts and numerical values. Hence, we ask the question to what extent it is possible to predict numerical (or categorical) data from text data?.