TY - JOUR
T1 - Political Science
T2 - KEDS-A Program for the Machine Coding of Event Data
AU - Schrodt, Philip A.
AU - Davis, Shannon G.
AU - Weddle, Judith L.
N1 - Funding Information:
An earlier version of this paper was presented at the 1994 meetings of the International Studies Association. Address correspondence to Philip A. Schrodt, Department of Political Science, University of Kansas, Blake Hall, Lawrence, KS 66045; 913-864-3523; FAX 913-864-5208; E-mail [email protected]. This research was funded in part by the National Science Foundation through grants SES89-10738 and SES90-25130 and the University of Kansas General Research Fund Grant 3500-X0-0038. Brad Bennett, Doug Bond, Ronald Francisco, Deborah Gerner, Tony Nownes, Jon Pevehouse, Julia Pitner, and Scott Savaiano have served as alpha- and beta-testers of KEDS, and we are indebted to them for their feedback and patience.
PY - 1994/12
Y1 - 1994/12
N2 - 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.
AB - 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.
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U2 - 10.1177/089443939401200408
DO - 10.1177/089443939401200408
M3 - Article
AN - SCOPUS:21844483797
SN - 0894-4393
VL - 12
SP - 561
EP - 587
JO - Social Science Computer Review
JF - Social Science Computer Review
IS - 4
ER -