MOTIVATION: The task of eXtreme Multi-Label Classification (XMLC) deals with the problem of assigning multiple labels to a data object. The specific challenge is that the classification of a data object is conducted in k few labels given a pool of hundreds or thousands of labels, i.e., k << n. XMLC is of tremendous practical importance and industries and organizations in various fields such as retailing, web-content recommender, scientific libraries, new providers and others are dealing with it. OBJECTIVE: After Assignment 1 focused on the theoretical aspects of text classification, the objective of his assignment is to get practical experience in designing, implementing, running and scientifically evaluating your own XML classifier. The dataset will be a collection of two very large-scale resources of scientific papers in economics and medicine. Each `document’ in this
MOTIVATION: The task of eXtreme Multi-Label Classification (XMLC) deals with the problem of assigning multiple labels to a data object. The specific challenge is that the classification of a data object is conducted in k few labels given a pool of hundreds or thousands of labels, i.e., k << n. XMLC is of tremendous practical […]