| Budget Amount *help |
¥4,030,000 (Direct Cost: ¥3,100,000、Indirect Cost: ¥930,000)
Fiscal Year 2017: ¥650,000 (Direct Cost: ¥500,000、Indirect Cost: ¥150,000)
Fiscal Year 2016: ¥650,000 (Direct Cost: ¥500,000、Indirect Cost: ¥150,000)
Fiscal Year 2015: ¥2,730,000 (Direct Cost: ¥2,100,000、Indirect Cost: ¥630,000)
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| Outline of Final Research Achievements |
In this research project, we conduct a detailed survey of language expressions of libelous acts that lead to "bullying" on social media, and developed an automatic detection method of slander act based on the survey results. The main research results are as follows: (1) Survey on actual usage of language expression targeting about 5,000 text data, revealed appearance trend of slander expression and victim / perpetrator expression. (2) SVM based detection model considering the above tendency was proposed and its effectiveness was shown. (3) Knowledge-based features greatly contribute to automatic acquisition of victim information.
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