Archives for multilabel text classification
SS3 has obtained state-of-the-art performance on the early risk detection (ERD) problems on text streams. Since it was designed to deal with risk detection over text streams, it supports incremental training and classification, as well as a visual explanation
The problem of assigning the most relevant subset of class labels to each document from an extremely large label collection, where the number of labels could reach hundreds of thousands or millions, is known as extreme multi-label text classification (XMTC).