| Project/Area Number |
25280113
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| Research Category |
Grant-in-Aid for Scientific Research (B)
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| Allocation Type | Partial Multi-year Fund |
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| Section | 一般 |
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| Research Field |
Web informatics, Service informatics
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| Research Institution | Waseda University |
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Principal Investigator |
YAMANA Hayato 早稲田大学, 理工学術院, 教授 (40230502)
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| Co-Investigator(Renkei-kenkyūsha) |
OYAMA Keizo 国立情報学研究所, 教授 (90177022)
UNO Takeaki 国立情報学研究所, 教授 (00302977)
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| Research Collaborator |
OKUNO Syunya
OKUTANI Takashi
ASAI Hiroki
UESATO Kazuya
TANAKA Masahiro
SHINOHARA Shota
ISHIYAMA Takehiro
Wang Lan
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| Project Period (FY) |
2013-04-01 – 2017-03-31
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| Project Status |
Completed (Fiscal Year 2016)
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| Budget Amount *help |
¥13,520,000 (Direct Cost: ¥10,400,000、Indirect Cost: ¥3,120,000)
Fiscal Year 2015: ¥2,600,000 (Direct Cost: ¥2,000,000、Indirect Cost: ¥600,000)
Fiscal Year 2014: ¥7,150,000 (Direct Cost: ¥5,500,000、Indirect Cost: ¥1,650,000)
Fiscal Year 2013: ¥3,770,000 (Direct Cost: ¥2,900,000、Indirect Cost: ¥870,000)
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| Keywords | 著者推定 / インターネットの安全性 / SNS / tweet / 専門性推定 / 信憑性 / 専門用語 / Tweet |
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| Outline of Final Research Achievements |
Since various information floods on the Internet, its credibility is becoming a social problem. In this study, we researched on authorship identification technique for short messages such as SNS, targeting to identify the authorship of the messages from among 100,000 candidates. That is, if there is some documents written in advance by the author, it is possible to estimate the writer. As a result, we have established a mechanism to find a specific user out of 100,000 SNS users with accuracy of 60% if we have only 30 messages. In addition, the probability of being able to extract in the top 10 places was 74%. This is a major contribution to the fact that other research in the world is limited to about 20% accuracy for 100,000 candidates.
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