A New Approach Using Weibo Data to Predict the China Shanghai Stock Market
Authors
T. Xu, H. Zhang
Corresponding Author
T. Xu
Available Online July 2015.
- DOI
- 10.2991/aiie-15.2015.67How to use a DOI?
- Keywords
- clustering; data acquisition; Shanghai composite index forecasting
- Abstract
In recent years, researches using big data of SNS to predict trends are studied extensively these days. Weibo, the most famous Chinese SNS, is playing an important role for people getting and sharing information. In this paper, a large amount of text data were scraped from Weibo by web crawler, and then were used to build a model to forecast the trend of Shanghai securities composite index. The model based on Clustering and Neural Networks can help the investors to make better decision for their investment. The method proposed here also can provide import hint for related studies such as data mining.
- Copyright
- © 2015, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - T. Xu AU - H. Zhang PY - 2015/07 DA - 2015/07 TI - A New Approach Using Weibo Data to Predict the China Shanghai Stock Market BT - Proceedings of the 2015 International Conference on Artificial Intelligence and Industrial Engineering PB - Atlantis Press SP - 239 EP - 242 SN - 1951-6851 UR - https://doi.org/10.2991/aiie-15.2015.67 DO - 10.2991/aiie-15.2015.67 ID - Xu2015/07 ER -