Abstract
Due to the unprecedented popularity of social network services (SNSs), such as Twitter and Facebook, means that a huge number of user documents are created and shared constantly via SNSs. Given the volume of user documents, browsing documents in a selective manner based on personal interests is a time-consuming and laborious task. Therefore, in the case of Twitter, trend keyword lists are provided for the user's convenience. However, it is still not easy to determine the details based on a few simple keywords. The keywords usually relate to the hot issues at any time so many documents will contain pertinent details, such as news on the Internet. Thus, to provide detailed information about an issue, it is necessary to identify relationships among them. In this study, we developed a SNS-based issue detection and related news summarization scheme. To evaluate the effectiveness of our scheme, we implemented a prototype system and performed various experiments. We present some of the results.
| Original language | English |
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| DOIs | |
| Publication status | Published - 2014 |
| Event | 8th International Conference on Ubiquitous Information Management and Communication, ICUIMC 2014 - Siem Reap, Cambodia Duration: 2014 Jan 9 → 2014 Jan 11 |
Other
| Other | 8th International Conference on Ubiquitous Information Management and Communication, ICUIMC 2014 |
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| Country/Territory | Cambodia |
| City | Siem Reap |
| Period | 14/1/9 → 14/1/11 |
Keywords
- Issue summarization
- News summarization
- News trend
- SNS analysis
- Trending issue
ASJC Scopus subject areas
- Computer Networks and Communications
- Information Systems