Name
Abstract | ||
|---|---|---|
Internet has become a resourceful platform for people to collect information. Specially, it becomes one of the main ways to understand a celebrity. However, the huge volume of information makes troubles for people to get what they really want. How to filter out needless information through numerous data and form a brief review of a celebrity become necessary for people to understand the person. In this paper, we propose a novel solution for understanding a celebrity by summarizing his most salient historical events, and a framework is outlined. The framework contains three main components: attention tracking, event mining from News, and event summarization. First, with the comparison of users' attention and media attention on a celebrity, News corpus is proved to be able to represent the users' attention. Second, keywords are extracted from the News according to different time periods for choosing summary sentences. Third, a final event description of the celebrity will be given. Finally, we will show the user interface of our system. Our experimental results show that the proposed solution can effectively process the news corpus and provide us with accurate description of the celebrity. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1007/978-3-642-15470-6_10 | AMT |
Keywords | Field | DocType |
salient event,needless information,event summarization,attention tracking,news corpus,final event description,accurate description,main component,media attention,event mining,salient historical event,user interface | Automatic summarization,Data mining,World Wide Web,Computer science,Event mining,User interface,Salient,The Internet | Conference |
Volume | ISSN | ISBN |
6335.0 | 0302-9743 | 3-642-15469-7 |
Citations | PageRank | References |
1 | 0.35 | 12 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Shuangyong Song | 1 | 72 | 4.34 |
| Qiudan Li | 2 | 440 | 28.06 |
| Nan Zheng | 3 | 49 | 3.18 |