Efficient Classification of Multi-Labelled Text Streams by Clashing

12 Apr 2016Ricardo ÑanculefIlias FlaounasNello Cristianini

We present a method for the classification of multi-labelled text documents explicitly designed for data stream applications that require to process a virtually infinite sequence of data using constant memory and constant processing time. Our method is composed of an online procedure used to efficiently map text into a low-dimensional feature space and a partition of this space into a set of regions for which the system extracts and keeps statistics used to predict multi-label text annotations... (read more)

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