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

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

doi:10.1177/089443939401200408

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

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

Political Science

Research output: Contribution to journal › Article › peer-review

89 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 language	English (US)
Pages (from-to)	561-587
Number of pages	27
Journal	Social Science Computer Review
Volume	12
Issue number	4
DOIs	https://doi.org/10.1177/089443939401200408
State	Published - Dec 1994

All Science Journal Classification (ASJC) codes

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

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10.1177/089443939401200408

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@article{a89714db5a3643f79aadd40d5d6716b7,

title = "Political Science: KEDS-A Program for the Machine Coding of Event Data",

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.",

author = "Schrodt, {Philip A.} and Davis, {Shannon G.} and Weddle, {Judith L.}",

note = "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 SCHRODT@UKANAIX.CC.UKANS.EDU. 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. ",

year = "1994",

month = dec,

doi = "10.1177/089443939401200408",

language = "English (US)",

volume = "12",

pages = "561--587",

journal = "Social Science Computer Review",

issn = "0894-4393",

publisher = "SAGE Publications Inc.",

number = "4",

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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 SCHRODT@UKANAIX.CC.UKANS.EDU. 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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Political Science: KEDS-A Program for the Machine Coding of Event Data

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