AUTOMATED CODING OF INTERNATIONAL EVENT DATA USING SPARSE PARSING TECHNIQUES

Philip A. Schrodt

41 citations0/0 files stored

No readable copy stored yet — this record is metadata only.

No open-access location is known for this record yet.

Literature note Cite in a project Citation map

Computational and Text Analysis Methods Natural Language Processing Techniques Digital Humanities and Scholarship

Abstract

“Event data” record the interactions of political actors reported in sources such as newspapers and news services; this type of data is widely used in research in international relations. Over the past ten years, there has been a shift from coding event data by humans—typically university students—to using computerized coding. The automated methods are dramatically faster, enabling data sets to be coded in real time, and provide far greater transparency and consistency than human coding. This paper reviews the experience of the Kansas Event Data System (KEDS) project in developing automated coding using “sparse parsing” machine coding methods, discusses a number of design decisions that were made in creating the program, and assesses features that would improve the effectiveness of these programs.

Paper brief

Loading…

Cite this work

Citation unavailable for this work.

BibTeX RIS CSL-JSON

No public copy is stored for this record, so only the metadata is cited.

Citations in this library

Citation map →

Stored only when both papers are in the corpus — 41 citations exist upstream.

References

1994Machine Coding of Event Data Using Regional and International Sources 1994Political Science: KEDS—A Program for the Machine Coding of Event Data 1999A review of software for text analysis

Cited by

2003Integrated Data for Events Analysis (IDEA): An Event Typology for Automated Events Data Development 2012Moving Beyond Deterrence 2009Foundations of Effective Influence Operations. A Framework for Enhancing Army Capabilities 2016Proceedings of the First Workshop on NLP and Computational Social Science 2016Generating Politically-Relevant Event Data 2012Uncovering and managing the impact of methodological choices for the computational construction of socio-technical networks from texts 2025Measurement of event data from text 2006Using Text Mining Tools for Event Data Analysis

Explore the map →

Papers that cite the same references — the relational fallback while embeddings are still backfilling.

Imported from OpenAlex (CC0) — nothing here is generated.