Auto-categorization methods for digital archives

Archivists and records managers would benefit from a greater understanding of the use and effectiveness of various machine learning methods, especially in the related context of electronic discovery. However, the binary classification methods used in advance search techniques in the e-discovery space may or may not prove efficacious where the information task involves sorting records into multiple categories. A survey of the landscape of machine learning methods reveals areas of potential weakness, which in turn serve as a starting point for future research in the computational archives space.