Text Algorithms in Economics

14Citations
Citations of this article
92Readers
Mendeley users who have this article in their library.

Abstract

This article provides an overview of the methods used for algorithmic text analysis in economics, with a focus on three key contributions. First, we introduce methods for representing documents as high-dimensional count vectors over vocabulary terms, for representing words as vectors, and for representing word sequences as embedding vectors. Second, we define four core empirical tasks that encompass most text-as-data research in economics and enumerate the various approaches that have been taken so far to accomplish these tasks. Finally, we flag limitations in the current literature, with a focus on the challenge of validating algorithmic output.

Cite

CITATION STYLE

APA

Ash, E., & Hansen, S. (2023, September 13). Text Algorithms in Economics. Annual Review of Economics. Annual Reviews Inc. https://doi.org/10.1146/annurev-economics-082222-074352

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free