• Corpus ID: 42431955

Automated Production of High-Volume, Near-Real-Time Political Event Data

@inproceedings{Schrodt2011AutomatedPO,
  title={Automated Production of High-Volume, Near-Real-Time Political Event Data},
  author={Philip A. Schrodt},
  year={2011}
}
This paper summarizes the current state-of-the-art for generating high-volume, nearreal-time event data using automated coding methods, based on recent efforts for the DARPA Integrated Crisis Early Warning System (ICEWS) and NSF-funded research. The ICEWS work expanded by more than two orders of magnitude previous automated coding efforts, coding of about 26-million sentences generated from 8-million stories condensed from around 30 gigabytes of text. The actual coding took six minutes. The… 
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