Overview
- Introduces a new approach to automated personality identification and profiling through text analysis
- Includes fascinating case studies from various domains such as forensic personality profiling and customer service
- Written by an accomplished polymath who has worked extensively on computational topics of psychological, social and educational interest
- Includes supplementary material: sn.pub/extras
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Table of contents (11 chapters)
Keywords
About this book
The emergence of intelligent technologies, sophisticated natural language processing methodologies and huge textual repositories, invites a new approach for the challenge of automatically identifying personality dimensions through the analysis of textual data. This short book aims to (1) introduce the challenge of computational personality analysis, (2) present a unique approach to personality analysis and (3) illustrate this approach through case studies and worked-out examples.
This book is of special relevance to psychologists, especially those interested in the new insights offered by new computational and data-intensive tools, and to computational social scientists interested in human personality and language processing.
Reviews
“This is a unique book connecting simple pragmatic, commonsense ideas with complex theories. It considers various models of personality with their strengths and weaknesses, describes novel computational approaches to personality analysis and interestingly applies it to various cases from the identification of terrorists to the analysis of political leaders.” (Prof. Leonid Perlovsky, Editor, Physics of Life Reviews, Author of "Neural Networks and Intellect: using model-based concepts" (Oxford UP))
“This is truly a seminal volume in machine learning approaches to computational personality analytics. A most comprehensive and innovative description is provided of supervised analytics of personality, with many contemporary applications.” (Prof. Fionn Murtagh, Editor, The Computer Journal, C, Author of "Multivariate Data Analysis" (Springer))
“Professor’s Neuman book about computational personality analysis introduces the reader to a leading-edge field with many practical applications and opens new perspectives in psychology in the age of algorithms and big data. The author explains in plain and simple language the state of the art in personality theory, text analysis and machine learning. Beyond its pedagogical value, the text presents also original concepts and methodologies emerging from both encyclopedic knowledge and hands-on experience. Combining scientific and mathematical rigor with a deep humanistic understanding of the complexity of the human soul, Prof. Neuman does not avoid the profound epistemological and ethical problems facing the new discipline.” (Prof. Pierre Lévy, Author of "Collective Intelligence" (Harper Collins) Canada Research Chair in Collective Intelligence Fellow of the Royal Society of Canada)
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Authors and Affiliations
About the author
Yair Neuman (b. 1968) is Full Professor at Ben-Gurion University of the Negev. He is also a Senior Fellow at the Brain Sciences Foundation, a co-director of the Behavioral Insights Research Lab at U. Toronto and affiliated with many other organizations.
He received his BA in Psychology (Major) and Philosophy (Minor) and his PhD in Cognition (Hebrew Univ. 1999) and his expertise is in interdisciplinary research where he draws on diverse disciplines to address problems from an unique perspective.
He was the chief algorithm developer of the IARPA metaphor project (ADAMA group).
Prof. Neuman has published extensively in leading journals and in various disciplines such as Natural Language Processing, Semiotics, Psychology and Mathematical Modeling. In a previous book of his, he proposed a new approach to cultural psychology. Computational Personality Analysis is the fifth book of Professor Neuman's.
Bibliographic Information
Book Title: Computational Personality Analysis
Book Subtitle: Introduction, Practical Applications and Novel Directions
Authors: Yair Neuman
DOI: https://doi.org/10.1007/978-3-319-42460-6
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing Switzerland 2016
Hardcover ISBN: 978-3-319-42458-3Published: 06 September 2016
Softcover ISBN: 978-3-319-82587-8Published: 14 June 2018
eBook ISBN: 978-3-319-42460-6Published: 30 August 2016
Edition Number: 1
Number of Pages: IX, 120
Number of Illustrations: 7 b/w illustrations, 5 illustrations in colour
Topics: Computer Appl. in Social and Behavioral Sciences, Personality and Social Psychology, Computational Linguistics, Criminology and Criminal Justice, general, Security Science and Technology