Article

Editorial: Semantic Algorithms in the Assessment of Attitudes and Personality

Public Deposited

Downloadable Content

Download PDF
https://scholar.colorado.edu/concern/articles/z029p618j
Abstract
  • The methodological tools available for psychological and organizational assessment are rapidly advancing through natural language processing (NLP). Computerized analyses of texts are increasingly available as extensions of traditional psychometric approaches. The present Research Topic is recognizing the contributions but also the challenges in publishing such inter-disciplinary research. We therefore sought to provide an open-access avenue for cutting-edge research to introduce and illustrate the various applications of semantics in the assessment of attitudes and personality. The result is a collection of empirical contributions spanning from assessment of psychological states through methodological biases to construct identity detection.

     

Creator
Date Issued
  • 2021
Academic Affiliation
Journal Title
Last Modified
  • 2022-08-09
Resource Type
Rights Statement
License
DOI
ISSN
  • 1664-1078
Language

Relations

Items