| Budget Amount *help |
¥2,080,000 (Direct Cost: ¥1,600,000、Indirect Cost: ¥480,000)
Fiscal Year 2009: ¥130,000 (Direct Cost: ¥100,000、Indirect Cost: ¥30,000)
Fiscal Year 2008: ¥1,950,000 (Direct Cost: ¥1,500,000、Indirect Cost: ¥450,000)
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| Research Abstract |
A study of spam blog (splog) filtering method is conducted. For designing an efficient splog filter, we first created a splog dataset in which 50 persons judged blogs whether splogs or not. We then created a prototype splog filtering system. The system provides a user personalized splog filter by using a machine learning method called support vector machine (SVM). As evaluation results, we obtained F-value 0.738 for splogs which is higher than the value 0.656 of the previous method.
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