| Autor: |
Bouma, Henri, Raaijmakers, Stephan, Halma, Arvid, Wedemeijer, Harry |
| Zdroj: |
Proceedings of SPIE; May 2012, Vol. 8408 Issue: 1 p840807-840807-11 |
| Abstrakt: |
Many threats in the real world can be related to activity of persons on the internet. Internet surveillance aims to predict and prevent attacks and to assist in finding suspects based on information from the web. However, the amount of data on the internet rapidly increases and it is time consuming to monitor many websites. In this paper, we present a novel method to automatically monitor trends and find anomalies on the internet. The system was tested on Twitter data. The results showed that it can successfully recognize abnormal changes in activity or emotion. |
| Databáze: |
Supplemental Index |
| Externí odkaz: |
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