Explore the Influence of Politics on Cultural Attention Based on Sentiment Analysis of Social Network Data

Abstract

With the increasingly frequent cultural exchanges between China and foreign countries, more and more Chinese people advocate western festivals. Foreign culture has invaded China and our traditional culture has been neglected seriously, which results in the more servere sense of loss of traditional culture. Therefore, Chinese government has stepped up efforts to spread traditional culture and issued relevant documents to make the public pay more attention to the inheritance and development of traditional culture. By mining relevant festival data in Sina Weibo which is sent before and after the policy release, this paper use Chinese word segmentation technology and naive bayes classifier to analyze the change of public sentiment value and the distribution of emotional tendency to explore whether the Policy can promote the spread of culture and the positive significance of policy for the transmission of traditional culture.