Computational Personality Analysis (PDF)
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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.
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.
- Autor: Yair Neuman
- 2016, 1st ed. 2016, 120 Seiten, Englisch
- Verlag: Springer-Verlag GmbH
- ISBN-10: 3319424602
- ISBN-13: 9783319424606
- Erscheinungsdatum: 30.08.2016
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
- Dateiformat: PDF
- Größe: 1.85 MB
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