Wang, ZhiyuCui, PengXie, LexingChen, HaoZhu, WenwuYang, Shiqiang2015-12-13October 299781450310895http://hdl.handle.net/1885/71393Microblog is a prominent information platform for sharing experiences, discussing current events, and exchanging ideas. Many events are first reported in social media, and increasing amounts of rich-media content are associated with the posts, making them more credible and attractive. We design a rich-media analysis system to address the important challenge of sensing and exploring events from social media in real-time. The system includes a novel bilateral correspondence topic model to extract representative content and meaningful facets about events over time. It also includes a digital magazine that anchors user interactions with event facets. We demonstrate several examples from more than 4 million rich media microblogs, showing the effectiveness of key content extraction and natrual interactions with facets.Keywords: Analysis system; Automatic layout; BC-LDA; Content extraction; Digital magazines; Information platform; Micro-blog; Rich medias; Social media; Topic model; User interaction automatic layout; BC-LDA; multi-modal microblog201210.1145/2393347.23964842016-02-24