Event Detection with Convolutional Neural Networks for Forensic Investigation - Archive ouverte HAL Access content directly
Conference Papers Year : 2016

Event Detection with Convolutional Neural Networks for Forensic Investigation

(1, 2) , (1, 2) , (1, 2) , (1, 2)
1
2

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.
Fichier principal
Vignette du fichier
433802_1_En_11_Chapter.pdf (706.01 Ko) Télécharger le fichier
Origin : Files produced by the author(s)
Loading...

Dates and versions

hal-01614980 , version 1 (11-10-2017)

Licence

Attribution - CC BY 4.0

Identifiers

Cite

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⟩
98 View
122 Download

Altmetric

Share

Gmail Facebook Twitter LinkedIn More