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Comparing SVD and word2vec for analysis of malware forum posts

Published: 31 July 2017 Publication History

Abstract

Many corpora of intelligence interest are so large that it is impractical to read them entirely. Analysts need tools that will focus attention on significant structures and particular documents. Here we exploit singular value decomposition and word2vec as tools for this purpose, and compare them with one another in a real-world application -- a malware forum from the dark web.

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cover image ACM Conferences
ASONAM '17: Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2017
July 2017
698 pages
ISBN:9781450349932
DOI:10.1145/3110025
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Published: 31 July 2017

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