Research on trend prediction and evaluation of network public opinion

Abstract

SummaryNetwork public opinion can reflect social and political attitude of people, and it is very important that we study trend prediction and evaluation of network public opinion, which can provide decision making for managers. Aiming at lacking in trend prediction and evaluation of network public opinion, the attributes of monitoring index system of network public opinion are reduced using rough set theory, and construct a more scientific monitoring index system of network public opinion combined with the real life, determine the weight of the index using the analytic hierarchy process, and present a novel method of trend prediction and evaluation of network public opinion on the basis of fuzzy comprehensive evaluation model from the aspects of the quantitative and qualitative. Example analysis shows that this method is simple and easy to implement. It helps to provide a new theory and practice guidance for trend prediction and risk evaluation of online network public opinion.