"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) <.