Abstract: The aim behind analyzing the Goodreads dataset is to get a fair idea about the relationships between the multiple attributes a book might have, such as: the aggregate rating of each book, the trend of the authors over the years and books with numerous languages. With over a hundred thousand ratings, there are books which just tend to become popular as each day seems to pass. We proposed an Artificial Neural Network (ANN) model for predicting the overall rating of (...) books. The prediction is based on these features (bookID, title, authors, isbn, language_code, isbn13, # num_pages, ratings_count, text_reviews_count), which were used as input variables and (average_rating) as output variable for our ANN model. Our model were created, trained, and validated using data set in JNN environment, which its title is “Goodreads-books”. Model evaluation showed that the ANN model is able to predict correctly 99.78% of the validation samples. (shrink)

In his 2016 book, Against Empathy: The Case for Rational Compassion, Paul Bloom argues that “if we want to be good caring people, if we want to make the world a better place, then we are better off without empathy.” I’ve specifically chosen this formulation of Bloom’s position because it gets at the issue I will most directly challenge him on - that we would, or even could, be better off without empathy. The position I will defend is that our (...) empathy plays an indispensable role in the development of our moral conscience, and an ongoing role in the cultivation of our moral concepts, that would be compromised by suppressing our empathy. On this understanding, I argue that we would generally be better served by cultivating our empathy to mitigate and overcome its shortcomings, rather than suppressing our empathy as Bloom recommends. (shrink)