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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.
This is a digital product.
Computational Personality Analysis: Introduction, Practical Applications and Novel Directions is written by Yair Neuman and published by Springer. The Digital and eTextbook ISBNs for Computational Personality Analysis are 9783319424606, 3319424602 and the print ISBNs are 9783319424583, 3319424580.

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