Visual Analysis of Topic Transition among Different Sources of Text Corpora

Traditional news media and social media may convey different perspectives and topics may affect each other in the same event. This paper presents a set of visual analysis methods to analyze the similarities and differences in comments of event on multi text sources and the topic transition pattern over time. First, an information transition model based on topic analysis is proposed. LDA model was used to extract topics and the transmission relationships between topics are analyzed by content correlation and temporal correlation. An approach which combine Sankey graph and timeline technique is applied to visualize the topic transition model. The topic hierarchy view, word distance view and raw data view are used to help users comprehensive understanding the topics. Finally, this paper provides a visual analysis system prototype. The event of "South Korea deployed THAAD" is provided to verify the usability and effectiveness of the visual analysis system.