Behavioral Factors in Interactive Training of Text Classifiers

Abstract

This paper describes a user study where humans interactively train automatic text classifiers. We attempt to replicate previous results using multiple “average” Internet users instead of a few domain experts as annotators. We also analyze user annotation behaviors to find that certain labeling actions have an impact on classifier accuracy, drawing attention… (More)

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