JSAI Technical Report, Type 2 SIG
Online ISSN : 2436-5556
Towards Prediction of Volume of Transactions Using the Related News Articles
Minoru YOSHIDA, Hiroshi NAKAGAWA, Tomonari ISHIDA, Akihiro NAKASHIMA, Tohgoroh MATSUI, Kiyoshi IZUMI, Sho IKEDA, Takatora HONDA
Author information
RESEARCH REPORT / TECHNICAL REPORT FREE ACCESS

2011 Volume 2011 Issue FIN-006 Pages 09-

Details
Download PDF (256K)
Download citation RIS

(compatible with EndNote, Reference Manager, ProCite, RefWorks)

BIB TEX

(compatible with BibDesk, LaTeX)

Text
How to download citation
Contact us
Abstract

We report our on-going research to develop a system to predict volume of transactions of a brand using news articles related to the brand. We investigated the e?ect of keyword-based article selection and online learning algorithms on prediction accuracies.

Content from these authors
© 2011 Authors
Previous article Next article
Favorites & Alerts

Recently viewed articles
Announcements from publisher
  • All articles of this site can be accessed without authentication. The copyright of each article is owned by the authors in principle.
Related journals
Journal of the Japanese Society for Artificial Intelligence
Transactions of the Japanese Society for Artificial Intelligence
Proceedings of the Annual Conference of JSAI
SIG-SLUD Technical report
SIG-KBS Technical report
SIG-FPAI Technical report
SIG-ALST Technical report
Share this page
feedback
 Top