In this contribution, we propose a method for analyzing the similarities between books considering the emotions present in their content and in online reviews, focusing on a very specific category of literature books - the novels and short stories written by Agatha Christie. The method was experimentally validated using our own reviews dataset that we collected from Goodreads and Amazon websites using our customized web scrapers. We created an experimental setup to process the book content and the book reviews towards emotion extraction and create an affective categorization of books. Lastly we discuss our research findings regarding the identified similarities between emotions conveyed by the author’s writing and those revealed in book reviews.