ISEC is a new ordinal index that combines word embeddings for semantic distance, an adapted Damerau-Levenshtein algorithm for morphological costs, and empirical frequency to rank category pairs prone to irrecoverable confusion in manual data entry.
Augmenting organizational decision-making with deep learning algorithms: Principles, promises, and challenges.Journal of Business Research, 123:588–603, 2 2021
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A categorical error sensitivity index (ISEC): A preventive ordinal decision-support measure for irrecoverable errors in manual data entry systems
ISEC is a new ordinal index that combines word embeddings for semantic distance, an adapted Damerau-Levenshtein algorithm for morphological costs, and empirical frequency to rank category pairs prone to irrecoverable confusion in manual data entry.