Title :
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
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;
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
DOI :
10.1109/IIH-MSP.2014.219
