Visualization of Microblog Keyword Data Based on 3D Interactive Word Cloud

The rapid development of the Internet makes it easier for users to share information. On various network platforms (such as Microblog), a large amount of text data containing useful information flows every day. The visualization of these data is of great significance to cognition and use of this information. Although the current scholars have extensively studied the processing of text data and the visualization of its results, there is still confusion, monotony, etc. on the visualization of this special and widely used multi-domain text data of microblog text. We improve the traditional text data display method - word cloud and combines a 3D model to propose a new type of word cloud. Additional, we improve traditional topic model LDA and propose E-LDA to get better topics from short text data. Experiments show that we get better results in topic extraction. And in terms of the traditional word cloud, there are obvious improvements in results presentation, topic relationship presentation, and interaction friendliness.