Multiattribute context analysis to "unclarity" sensibility and applications to malicious information judgment on the Web
| Project/Area Number |
22240020
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| Research Category |
Grant-in-Aid for Scientific Research (A)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
Sensitivity informatics/Soft computing
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| Research Institution | The University of Tokushima |
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Principal Investigator |
AOE Jun-ichi 徳島大学, ソシオテクノサイエンス研究部, 教授 (90108853)
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| Co-Investigator(Kenkyū-buntansha) |
FUKETA Masao 徳島大学, ソシオテクノサイエンス研究部, 准教授 (10304552)
MORITA Kazuhiro 徳島大学, ソシオテクノサイエンス研究部, 講師 (20325252)
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| Project Period (FY) |
2010-04-01 – 2014-03-31
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| Project Status |
Completed (Fiscal Year 2013)
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| Budget Amount *help |
¥40,690,000 (Direct Cost: ¥31,300,000、Indirect Cost: ¥9,390,000)
Fiscal Year 2013: ¥8,970,000 (Direct Cost: ¥6,900,000、Indirect Cost: ¥2,070,000)
Fiscal Year 2012: ¥8,710,000 (Direct Cost: ¥6,700,000、Indirect Cost: ¥2,010,000)
Fiscal Year 2011: ¥9,230,000 (Direct Cost: ¥7,100,000、Indirect Cost: ¥2,130,000)
Fiscal Year 2010: ¥13,780,000 (Direct Cost: ¥10,600,000、Indirect Cost: ¥3,180,000)
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| Keywords | 感性情報処理 / 文脈感性情報 / 有害情報フィルタリング |
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| Research Abstract |
Internet has spread widely in the world. On the other hand, there is much malicious information such as abuse, danger and crime in bulletin boards and this becomes a social problem. An automatic method of detecting the malicious information should be required, because it is impossible to extract it by hand.
In this research, "natural and clear expressions" is collected on a large scale and the detecting rules built from these expressions is utilized to extract malicious information automatically. According to experimental results, the achievement of automatic detection is from 70% to 80%.
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Report
(5 results)
Research Products
(13 results)
