An public opinion trend prediction method based on neural network algorithm

摘要

To overcome the unsatisfying trend prediction results of network public opinion in the present research, this paper put forward a method of Levenberg-Marquardt-based Back-Propagation (LM-BP) neural network algorithm to predict the network public opinion trend. Taking the microblog as the research object, the effectiveness and reliability of the method are proved with some real data in this article. The experimental result shows that LM-BP neural network algorithm performs more accurately and faster compared with standard BP algorithm.