Abstract
With the rapid development of information technology, Internet has become one of the most important platforms for people to get information. In our daily life, people tend to encounter this phenomenon: the news of certain topic is constantly updated, but the reports focus on different contents, these different focus include: the focus generated by the development of events; new focus caused by the increased user reviews of topics; focus migration due to the impact of other hot news topic in the same period. In this paper, we propose a method for analyzing and identifying the evolutionary focus of topics. The method is consist of three parts, including feature selection based on time attribute, feature combine model and focus presentation. The experimental results show that this method could identify the evolutionary focus of topics effectively.
| Original language | English |
|---|---|
| Pages (from-to) | 261-271 |
| Number of pages | 11 |
| Journal | Jisuanji Xuebao/Chinese Journal of Computers |
| Volume | 38 |
| Issue number | 2 |
| DOIs | |
| State | Published - 1 Feb 2015 |
Keywords
- Focus identification
- Online social topics
- Public opinion analysis
- Social computing
- Social networks
- Topic model
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