TY - GEN
T1 - Stock price forecasting based on BP neural network model of network public opinion
AU - Yu, Yawen
AU - Shanshan, Wang
AU - Lijun, Zhang
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/7/18
Y1 - 2017/7/18
N2 - with the development of Internet, many companies announced the stock information by various medium, and stock buyers comment that information as well as make rational investment strategies to maximize their profit. At present, many retail investors, who lack of channels to obtain real information, scarce professional knowledge of investment theory and easy to be affected by public opinion of Internet, make an irrational investment. This paper aims to combine the text analysis technique with comments on Vanke A (sz000002) from website to calculate the percentage of people with a positive view. This analysis method attempts to predict the impacts of investor sentiment on the stock market in the short term. Based on the network public opinion formation mode and technical indicators in stock market, this paper puts forward a BP neural network model. Then we improve the prediction accuracy of stock price by predicting the closing price.
AB - with the development of Internet, many companies announced the stock information by various medium, and stock buyers comment that information as well as make rational investment strategies to maximize their profit. At present, many retail investors, who lack of channels to obtain real information, scarce professional knowledge of investment theory and easy to be affected by public opinion of Internet, make an irrational investment. This paper aims to combine the text analysis technique with comments on Vanke A (sz000002) from website to calculate the percentage of people with a positive view. This analysis method attempts to predict the impacts of investor sentiment on the stock market in the short term. Based on the network public opinion formation mode and technical indicators in stock market, this paper puts forward a BP neural network model. Then we improve the prediction accuracy of stock price by predicting the closing price.
KW - BP neural network
KW - Network public opinion
KW - Stock price forecast
KW - Text analysis
UR - https://www.scopus.com/pages/publications/85029390389
U2 - 10.1109/ICIVC.2017.7984716
DO - 10.1109/ICIVC.2017.7984716
M3 - 会议稿件
AN - SCOPUS:85029390389
T3 - 2017 2nd International Conference on Image, Vision and Computing, ICIVC 2017
SP - 1058
EP - 1062
BT - 2017 2nd International Conference on Image, Vision and Computing, ICIVC 2017
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2nd International Conference on Image, Vision and Computing, ICIVC 2017
Y2 - 2 June 2017 through 4 June 2017
ER -