@inproceedings{c0110fe8712e420e93e2e117a97a77a2,
title = "Scalable sentiment classification across multiple dark web forums",
abstract = "This study examines several approaches to sentiment classification in the Dark Web Forum Portal, and opportunities to transfer classifiers and text features across multiple forums to improve scalability and performance. Although sentiment classifiers typically perform poorly when transferred across domains, experimentation reveals the devised approaches offer performance equivalent to the traditional forum-specific approach in classification in an unknown domain. Furthermore, incorporating the text features identified as significant indicators of sentiment in other forums can greatly improve the classification accuracy of the traditional forum-specific approach.",
keywords = "dark web, domain transfer, sentiment analysis",
author = "David Zimbra and Hsinchun Chen",
year = "2012",
doi = "10.1109/ISI.2012.6284095",
language = "English (US)",
isbn = "9781467321037",
series = "ISI 2012 - 2012 IEEE International Conference on Intelligence and Security Informatics: Cyberspace, Border, and Immigration Securities",
pages = "78--83",
booktitle = "ISI 2012 - 2012 IEEE International Conference on Intelligence and Security Informatics",
note = "2012 10th IEEE International Conference on Intelligence and Security Informatics, ISI 2012 ; Conference date: 11-06-2012 Through 14-06-2012",
}