Political Science: KEDS—A Program for the Machine Coding of Event Data

Philip A. Schrodt, Shannon Davis, Judith L. Weddle

Social Science Computer Review · 1994 · 158 citations · 8 references

Concepts

TL;DR

The paper presents the Kansas Event Data System (KEDS) and its application to coding Reuters Middle East data, while outlining future machine‑coding strategies and potential uses in event‑data research. KEDS is described in detail, including its components and coding workflow, and the authors discuss challenges encountered with Reuters data and the system itself. Keywords: event data, natural language, full‑text databases, international relations, social science.

Abstract

This paper describes in technical detail the Kansas Event Data System ( KEDS) and summarizes our experience in coding Reuters data for the Middle East. The components of KEDS are first described; this discussion is intended to provide sufficient detail about the program that one could develop a more sophisticated machine-coding system based on our research. We then discuss a number of problems we have encountered in machine coding, focusing on the Reuters data source and the KEDS program itself. The paper concludes with a discussion of future approaches to machine coding in event data research and other potential applications of the technology. Keywords. event data, natural language, full-text databases, international relations, social science.

References

8