Extending Crowd-Sourced Text Coding via Machine Learning to Code Corpora of any Size on any Dimension

• In Event: Machine Learning: Text and Images as Data

Brief Overview

We show how crowd-sourced coding of sentences can be used in conjunction with machine learning to improve upon existing coding schemes of important political science texts and even generate new novel coding schemes.

Authors

• Ken Benoit, London School of Economics

• Patrick J Chester, New York University

• Michael Laver, New York University

• Stefan Müller, University of Zurich