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A Survey of Relevant Text Mining Technology. (arXiv:2211.15784v1 [cs.CR])
Nov. 30, 2022, 2:10 a.m. | Claudia Peersman, Matthew Edwards, Emma Williams, Awais Rashid
cs.CR updates on arXiv.org arxiv.org
Recent advances in text mining and natural language processing technology
have enabled researchers to detect an authors identity or demographic
characteristics, such as age and gender, in several text genres by
automatically analysing the variation of linguistic characteristics. However,
applying such techniques in the wild, i.e., in both cybercriminal and regular
online social media, differs from more general applications in that its
defining characteristics are both domain and process dependent. This gives rise
to a number of challenges of which …
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