Comparing SVD and word2vec for analysis of malware forum posts

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.