Title :
ChronoSeeker: Future Opinion Extraction
Author :
Brun, Pierre ; Kawai, Hideki ; Kunieda, Kazuo ; Yamada, Keiji
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.
Keywords :
Chromium; Conferences; Data mining; Databases; Economic forecasting; Environmental economics; Intelligent agent; Machine learning; National electric code; Technological innovation; Data Mining; Information Extraction; Machine Learning;
Conference_Titel :
Web Intelligence and Intelligent Agent Technologies, 2009. WI-IAT '09. IEEE/WIC/ACM International Joint Conferences on
Print_ISBN :
978-0-7695-3801-3
Electronic_ISBN :
978-1-4244-5331-3
DOI :
10.1109/WI-IAT.2009.95
