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Handbook of Language Analysis in Psychology

  • March 2022
  • Publisher: Guilford Press
  • ISBN: 9781462548439
Authors:
Morteza Dehghani at University of Southern California
Morteza Dehghani
Ryan L. Boyd at Stony Brook University
Ryan L. Boyd
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Abstract

Recent years have seen an explosion of interest in the use of computerized text analysis methods to address basic psychological questions. This comprehensive handbook brings together leading language analysis scholars to present foundational concepts and methods for investigating human thought, feeling, and behavior using language. Contributors work toward integrating psychological science and theory with natural language processing (NLP) and machine learning. Ethical issues in working with natural language datasets are discussed in depth. The volume showcases NLP-driven techniques and applications in areas including interpersonal relationships, personality, morality, deception, social biases, political psychology, psychopathology, and public health.
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Handbook of Language Analysis in Psychology
Edited by Morteza Dehghani and Ryan L. Boyd
“Language provides a richer, more detailed window into the human experience than any
other source of data, and large-scale computational techniques have created unprecedented
opportunities in the study of human psychology. This volume provides a comprehensive
examination of language analysis methods and how they are being used across an astonishing
range of psychological research. It will be highly valuable to students and scholars in
psychology who are seeking a relevant, up-to-date overview of text analysis methods.
Conversely, this book also represents an invitation to computational folks to better
understand the nature of psychological research questions and the ways that their text
analysis expertise can help advance understanding of what makes people tick.”
— Philip Resnik, PhD, Department of Linguistics and Institute for Advanced Computer
Studies, University of Maryland, College Park
“The accelerating growth of new computational methods, theories, and applications in
language analysis opens up exciting possibilities for researchers, but it can also be daunting if
you are entering the field or trying to keep up to speed. But never fear! Dehghani and Boyd
have brought together a formidable crew of experts to create an accessible guide to the latest
developments in language analysis. This book is an ideal text for a graduate course, and can
serve as a reference and source of inspiration for researchers.”
— Sanjay Srivastava, PhD, Department of Psychology, University of Oregon
“This handbook assembles many of the best researchers who quantitatively analyze language
to better understand people. The coverage is impressively broad, from personality to politics,
from conversations and deception to the language of affect and morality. The methods used
are equally broad, from the use of classical lexica to modern vector embedding methods. This
book is ideal for a graduate seminar in psychology or related fields on the ways in which
language analysis is yielding insights into human thought, behavior, and communication.”
— Lyle Ungar, PhD, Department of Computer and Information Science, University of
Pennsylvania
Recent years have seen an explosion of interest in the use of computerized text analysis
methods to address basic psychological questions. This comprehensive handbook brings
together leading language analysis scholars to present foundational concepts and methods for
investigating human thought, feeling, and behavior using language. Contributors work
toward integrating psychological science and theory with natural language processing (NLP)
and machine learning. Ethical issues in working with natural language datasets are discussed
in depth. The volume showcases NLP-driven techniques and applications in areas including
interpersonal relationships, personality, morality, deception, social biases, political
psychology, psychopathology, and public health.
Find full information about this title online: www.guilford.com/p/dehghani
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... However, they serve different goals. Dehghani and Boyd (2021) discuss the purpose, strengths, weaknesses of different methods of text analysis. One of the big strengths of our approach, the dictionary or word counting approach, is that we bring domain expertise. ...
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