In this competition, you are provided with a supervised dataset X consisting of the raw content of news articles and the binary popularity (where 1 means "popular" and -1 not, calculated based on the number of shares in online social networking services) of these articles as labels. Your goal is to learn a function f from X that is able to predict the popularity of an unseen news article.

This is the first competition for course CS565500 at NTHU in Taiwan.