Name
Abstract | ||
|---|---|---|
Internet-based social network services SNSs have grown increasingly popular and are producing a great amount of content. Multiple users freely post their comments in SNS threads, and extracting the gist of these comments can be difficult due to their complicated dialog. In this paper, the authors propose a system that explores this concept of the gist of an SNS thread by comparing it with Wikipedia. The granularity of information in an SNS thread differs from that in Wikipedia articles, which implies that the information in a thread may be related to different articles on Wikipedia. The authors extract target articles on Wikipedia based on its link graph. When an SNS thread is compared with Wikipedia, the focus is on the table of contents TOC of the relevant Wikipedia articles. The system uses a proposed coverage degree to compare the comments in a thread with the information in the TOC. If the coverage degree is higher, the Wikipedia paragraph becomes the gist of the thread. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.4018/jbdcn.2011040102 | IJBDCN |
Keywords | Field | DocType |
proposed coverage degree,sns thread,great amount,relevant wikipedia article,different article,social network service threads,coverage degree,complicated dialog,wikipedia article,wikipedia paragraph,internet-based social network service,wikipedia | Dialog box,World Wide Web,Social network,Computer science,Table of contents,Thread (computing),Paragraph,GiST,Social network service,The Internet | Journal |
Volume | Issue | ISSN |
7 | 2 | 1548-0631 |
Citations | PageRank | References |
0 | 0.34 | 12 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Akiyo Nadamoto | 1 | 189 | 34.24 |
| Eiji Aramaki | 2 | 371 | 45.89 |
| Takeshi Abekawa | 3 | 48 | 10.35 |
| Yohei Murakami | 4 | 284 | 42.25 |