Towards Event Detection and Summarization on Microblogging Platforms

Microblog has been an essential tool in people's daily life recent years. Because of its interactive and its multiple users, current events can get a fast spread speed. As a result, more and more people use this platform to focus on hot spots instead of newspaper or television. However, people can only search for some relevant posts ranked by time sequence with much content redundancy or get some hot key words which are hard to understand without background knowledge. In this paper, we analyze the challenges in event detection on microblogging platforms, and present a research framework for event detection and summarization for microblog data.