Each review x is mapped onto a feature vector $($x$),$ which maps each word to the number of occurrences of that word in the review. For

example, the first review maps to the $($sparse$)$ feature vector $($x$)=\{$quite :$1,$ boring : $1\}.$ Recall the definition of the hinge loss: