International Views of Beijing in Authoritative Network Media

Abstract

With the fact that the some media vilifies China, monitoring the Internet news about Beijing in authoritative network media is very important which could forecast the international views of Beijing in western society. An important task is to summarize a set of relevant features of the views of Beijing in order to obtain the feature vectors of the sample news. Based on these features, the random sample contents of a great deal of latest news are clustered, which investigates whether the news is a hot topic. On the basis of the selected robust and accurate classification algorithm, the support vector machine is used to map the vectors into a higher dimensional space to establish a hyperplane with the maximum margin, and then two parallel hyperplanes are established respectively on each side of the hyperplane which separates the data and maximizes the distance between the two parallel hyperplanes for the purpose of data classification. In the process of machine learning, the composition, the measurement and the weight of the feature vectors are modified and improve through trials and errors, thus to realize the accurate forecasting of international views of Beijing.