21-ml-supervised-scaling.qmd

# Supervised Document Scaling {#sec-ml-supervised-scaling}

## Objectives

-   Introduction to the notion of document scaling. Difference from classification, which we cover in [Chapter @sec-ml-classifiers].
-   Supervised versus unsupervised methods
-   Wordscores
-   Class affinity model

## Methods

Applicable methods for the objectives listed above.

## Examples

Examples here.

## Issues

Training documents and how to select them.

Uncertainty accounting.

## Further Reading

Additional resources from libraries or the web.

## Exercises

Add some here.