'ocessed. The prediction task associated with the data is the prediction of the number of comments the upcoming 24 hours. In order to estimate this situation, we choose a basetime (in the past) and alect the blog posts that were published at most T2 hours before the selected base datettime. Then, e calculate all the features of the selected blog posts from the information that was available at the isetime, therefore each instance corresponds to a blog post. The target (or depend variable) is the meer of comments that the blog post received in the next 24 hours relative to the basetime. ariable Descriptions ...50: Average. standard deviation, min, max and median of the ttributes 51...BU for the source of the current blog post. With source we mean the blog on which the List appeared. For example. myblog.blog.org would be the source of Ie post mvblog.blog.org.-"post_2t]|1|UI_UQ_1IUI 1: Total number of comments before basetime 2: Number of comments in the last 24 hours before the basetime 3: Let T1 denote the datetime 48 hours before basetime, Let T2 denote the datetime 24 hours before asetime. This attribute is the number of comments in the time period between T1 and T2 4: Number of comments in the first 24 hours after the publication of the blog post, but before asetime 3: The difference of Attribute 52 and Attribute 53