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

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

Research output: Contribution to journalArticle

73 Scopus citations

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.

Original languageEnglish (US)
Pages (from-to)561-587
Number of pages27
JournalSocial Science Computer Review
Volume12
Issue number4
DOIs
StatePublished - Dec 1994

    Fingerprint

All Science Journal Classification (ASJC) codes

  • Social Sciences(all)
  • Computer Science Applications
  • Library and Information Sciences
  • Law

Cite this