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

Research output: Chapter in Book/Report/Conference proceedingBook chapter

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?.

Details

Authors
Organisations
External organisations
  • Linköping University
  • University of Gothenburg
  • Region Blekinge
Research areas and keywords

Subject classification (UKÄ) – MANDATORY

  • Psychology (excluding Applied Psychology)
Original languageEnglish
Title of host publicationStatistical Semantics
Subtitle of host publicationMethods and Applications
PublisherSpringer International Publishing
Pages73-86
Number of pages14
ISBN (Electronic)9783030372507
ISBN (Print)9783030372491
Publication statusPublished - 2020
Publication categoryResearch
Peer-reviewedYes