Summarizing Microblogs on Network Hot Topics
Yanxiang He, Suwen, Ye Tian, Qiang Chen, Lin Lu · 2011
As the representative of new media, microblog boosts for its real time characteristic and rich content. Using the summaries of a hot topic to display the topic can provide many important messages and background knowledge to the users. Since the short text feature and low costs of transmission, the messages of microblogs transmit very fast and tend to produce explosive content, which is well clustered. Traditional automatic summarization technologies mainly aim at long text summarization, thus in this paper, we present a novel and light algorithm-LN algorithm-to detect hot topics, summarize the topic and provide a visual presentation of the topic.