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Event Detection with Convolutional Neural Networks for Forensic Investigation

Abstract : Traditional approaches rely on domain expertise to acquire complicated features. Meanwhile, existing Natural Language Processing (NLP) tools and techniques are not competent to extract information from digital artifacts collected for investigation. In this paper, we propose an improved framework based on a Convolutional neural network (CNN) to capture significant clues for event identification. The experiments show that our solution achieves excellent results.
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Submitted on : Wednesday, October 11, 2017 - 4:57:20 PM
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Bo Yang, Ning Li, Zhigang Lu, Jianguo Jiang. Event Detection with Convolutional Neural Networks for Forensic Investigation. 9th International Conference on Intelligent Information Processing (IIP), Nov 2016, Melbourne, VIC, Australia. pp.97-107, ⟨10.1007/978-3-319-48390-0_11⟩. ⟨hal-01614980⟩