Automatically identifying the function and intent of posts in underground forums

Automatically identifying the function and intent of posts in underground forums

Abstract The automatic classification of posts from hacking-related online forums is of potential value for the understanding of user behaviour in social networks relating to cybercrime. We designed annotation schema to label forum posts for three properties: post type, author intent, and addressee....

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Bibliographic Details
Main Authors: Andrew Caines, Sergio Pastrana, Alice Hutchings, Paula J. Buttery
Format: Article
Language:English
Published: BMC 2018-11-01
Series:Crime Science
Subjects:
Underground forums
Cybercrime
Deviant behaviour
Machine learning
Natural language processing
Online Access:http://link.springer.com/article/10.1186/s40163-018-0094-4

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http://link.springer.com/article/10.1186/s40163-018-0094-4

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