Multi-label learning addresses classification tasks in which each instance may be associated with multiple, non-exclusive labels. Unlike traditional single-label approaches, multi-label methods must ...

Fast-increasing electronic documents in the digital environment offer a new source to support better understanding and services to online users. More attention has been paid to extracting users’ ...