To integrate text mining and artificial neural network to forecast gold futures price

Guo Xiang Xu, Ben Chang Shia, Yen Bin Hsu, Po Chih Shen, Kuo Hao Chu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

Recently, the gold futures price is under pressure of crude oil and inflation. And its price is always relatively higher, changing fast and difficult to forecast. Therefore, how to forecast the gold futures price is the main topic of this research. This research wants to bring up an artificial neural network model and combined the text mining to demonstrate the model that in some time plots has large scale fluctuation. Hoping this model can forecast the gold futures price from January 2009 to June 2009 to give the investor to make the reference. And compares the forecasting results and time series, the research result shows the artificial neural network model better than the time series model.

Original languageEnglish
Title of host publicationProceedings - 2009 International Conference on New Trends in Information and Service Science, NISS 2009
Pages1014-1020
Number of pages7
DOIs
Publication statusPublished - 2009
Externally publishedYes
Event2009 International Conference on New Trends in Information and Service Science, NISS 2009 - Beijing, China
Duration: Jun 30 2009Jul 2 2009

Other

Other2009 International Conference on New Trends in Information and Service Science, NISS 2009
CountryChina
CityBeijing
Period6/30/097/2/09

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ASJC Scopus subject areas

  • Computer Science Applications
  • Software

Cite this

Xu, G. X., Shia, B. C., Hsu, Y. B., Shen, P. C., & Chu, K. H. (2009). To integrate text mining and artificial neural network to forecast gold futures price. In Proceedings - 2009 International Conference on New Trends in Information and Service Science, NISS 2009 (pp. 1014-1020). [5260694] https://doi.org/10.1109/NISS.2009.239