Visualization of Sina Weibo Propagation and Sentiment Analysis

Abstract

Propagation and sentiment get more attention in social network research, but there is no intuitive way for users to get information directly and quickly. In this paper, combing data analysis and sentiment analysis, we build a system to analyze the Sina Weibo data and provide the results in a visual way. The system is divided into six parts, mainly leading users to find the regulation between time and reposts, the key players in the process of the propagation, the main phrases of the topic and the change in sentiment. Moreover, we provide improved text visualization and tree map to represent the data after text processing. The system contributes to Weibo data analysis and public opinion monitoring.