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Record Nr. |
UNINA9910255008203321 |
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Autore |
Neuman Yair <1968-> |
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Titolo |
Computational Personality Analysis : Introduction, Practical Applications and Novel Directions / / by Yair Neuman |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 |
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ISBN |
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Edizione |
[1st ed. 2016.] |
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Descrizione fisica |
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1 online resource (120 p.) |
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Disciplina |
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Soggetti |
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Application software |
Personality |
Social psychology |
Computational linguistics |
Criminology |
System safety |
Computer Appl. in Social and Behavioral Sciences |
Personality and Social Psychology |
Computational Linguistics |
Criminology and Criminal Justice, general |
Security Science and Technology |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Nota di contenuto |
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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. |
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Sommario/riassunto |
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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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