ChronoSeeker: Future Opinion Extraction

  • Authors:
  • Pierre Brun;Hideki Kawai;Kazuo Kunieda;Keiji Yamada

  • Affiliations:
  • -;-;-;-

  • Venue:
  • WI-IAT '09 Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Volume 01
  • Year:
  • 2009

Quantified Score

Hi-index 0.00

Visualization

Abstract

In this paper, we will propose a novel technique for Future Opinion Extraction, a new task of Information Extraction. The system we built can extract automatically future opinions, building automatic queries for the Search API. We obtained an F-Measure of 81.8% for the filtering of future opinion candidates. Our method provides future opinions allowing us to identify future problems and future goals of our society in the forty next years. The total system, called ChronoSeeker, contains +20,000 future opinions.