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Computational personality analysis = introduction, practical applications and novel directions /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Computational personality analysis/ by Yair Neuman.
Reminder of title:	introduction, practical applications and novel directions /
Author:	Neuman, Yair.
Published:	Cham :Springer International Publishing : : 2016.,
Description:	ix, 120 p. :ill., digital ; : 24 cm.;
Contained By:	Springer eBooks
Subject:	Personality assessment - Data processing. -
Online resource:	http://dx.doi.org/10.1007/978-3-319-42460-6
ISBN:	9783319424606

Computational personality analysis = introduction, practical applications and novel directions /
Neuman, Yair.

Computational personality analysisintroduction, practical applications and novel directions /[electronic resource] :by Yair Neuman. - Cham :Springer International Publishing :2016. - ix, 120 p. :ill., digital ;24 cm.

Acknowledgments -- Introduction: From The Princess Bride to computational personality -- Personality in a nutshell: Understanding who we are -- Computational personality analysis: When the machine meets the psychologist -- Distributional semantics and personality: How to find a perpetrator in a haystack -- Themes of personality: Profiling a political leader -- Going beyond words: How the Sisters of Mercy may identify psychopaths -- Hidden textual themes: Into Shakespeare's mind -- The complexity of personality: From Snowden to Superman -- Attractors of personality: A murderer, a terrorist and some angry Jews -- Taking complexity a step forward: The reversibility of the pedophile's mind -- Discussion -- Appendix -- Author index -- Subject index.

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.

ISBN: 9783319424606

Standard No.: 10.1007/978-3-319-42460-6doiSubjects--Topical Terms:

1112331
Personality assessment
--Data processing.

LC Class. No.: BF698.4

Dewey Class. No.: 155.28

Computational personality analysis = introduction, practical applications and novel directions /
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505 0 $a Acknowledgments -- Introduction: From The Princess Bride to computational personality -- Personality in a nutshell: Understanding who we are -- Computational personality analysis: When the machine meets the psychologist -- Distributional semantics and personality: How to find a perpetrator in a haystack -- Themes of personality: Profiling a political leader -- Going beyond words: How the Sisters of Mercy may identify psychopaths -- Hidden textual themes: Into Shakespeare's mind -- The complexity of personality: From Snowden to Superman -- Attractors of personality: A murderer, a terrorist and some angry Jews -- Taking complexity a step forward: The reversibility of the pedophile's mind -- Discussion -- Appendix -- Author index -- Subject index.
520 $a 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.
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