A New Approach Using Weibo Data to Predict the China Shanghai Stock Market

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/).

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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  -