A Forecasting System of Micro-blog Public Opinion Based on Artificial Neural Network

Author

Nai Yue Chen ; Yun Liu ; Zhen Jiang Zhang

Author_Institution

Dept. of Electron. & Inf. Eng., Beijing Jiaotong Univ., Beijing, China

fYear

2014

fDate

27-29 Aug. 2014

Firstpage

868

Lastpage

871

Abstract

The development and application of Micro-Blog have made it simpler and easier for people to express their feelings. However, with the characteristics of openness and fast-spreading, Micro-Blog can quickly turn a point of view into public opinion. Therefore, Micro-blog opinion evolution and trends prediction have become the focus of people´s attention. This paper is intended Micro-Blog public opinion contents and develops a Micro-Blog public opinion trends forecasting system using BP neural network. This system can collect and processes data automatically and forecast the tendency of Micro-Blog public opinion.

Keywords

Web sites; backpropagation; data analysis; neural nets; social sciences computing; BP neural network; artificial neural network; microblog public opinion trends forecasting system; Forecasting; Genetic algorithms; Market research; Neural networks; Predictive models; Time series analysis; Training; Artificial Neural Network; Micro-Blog; forecasting;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP), 2014 Tenth International Conference on

Conference_Location

Kitakyushu

Print_ISBN

978-1-4799-5389-9

Type

conf

DOI

10.1109/IIH-MSP.2014.219

Filename

6998465