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Handbook of Language Analysis in Psychology

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analyzing texts
artificial intelligence
automatic-update
B01=Morteza Dehghani
B01=Ryan L. Boyd
Category1=Non-Fiction
Category=JMB
Category=JMH
computational linguistics
computational social science
computerized text analysis
COP=United States
data mining
Delivery_Delivery within 10-20 working days
eq_bestseller
eq_isMigrated=2
eq_nobargain
eq_non-fiction
eq_society-politics
ethical issues language data
interpersonal communication
interpersonal communication research
James Pennebaker
Language_English
machine learning
machine learning psychological research applications
natural language processing
natural language processing psychology
PA=Available
political discourse analysis
Price_€50 to €100
PS=Active
psychology of language
quantitative
research methods
social psychology
softlaunch
statistical
textual data
word embeddings bias

Product details

  • ISBN 9781462548439
  • Weight: 1264g
  • Dimensions: 178 x 254mm
  • Publication Date: 11 Mar 2022
  • Publisher: Guilford Publications
  • Publication City/Country: US
  • Product Form: Hardback
  • Language: English
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Description

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 data sets 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.
About

Morteza Dehghani, PhD, is Associate Professor of Psychology and Computer Science and a member of the faculty of the Brain and Creativity Institute at the University of Southern California. Dr. Dehghani's research relies on machine learning and natural language processing to explore cognitive and psychological traces in artifacts of social discourse. Specifically, he investigates properties of moral cognition by analyzing language in conjunction with behavioral studies. Dr. Dehghani is a recipient of a CAREER Award from the National Science Foundation and a Young Investigator Award from the Air Force Office of Scientific Research.

Ryan L. Boyd, PhD, is Assistant Professor of Behavioral Analytics at Lancaster University in the United Kingdom, holding shared appointments in the Department of Psychology, Security Lancaster, and the Data Science Institute. His research interests broadly revolve around how our motives are revealed in language--that is, how our everyday words provide clues to why we think, feel, and behave in the ways that we do. Dr. Boyd’s research spans topics ranging from personality to society, mental health, human sexuality, and storytelling. He has authored dozens of free, open-source text analysis programs for social scientists, and he has been involved in the development of Linguistic Inquiry and Word Count since 2015. Dr. Boyd is on the editorial boards at PLOS ONE and Frontiers in Artificial Intelligence: Language and Computation, and is a member of the advisory board for Psychology of Language and Communication.