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

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..