Classification of radical web text using a composite-based method
Owoeye, Kolade Olawande and Weir, George R. S. (2018) Classification of radical web text using a composite-based method. In: IEEE International Conference on Computational Science and Computational Intelligence, 2018-12-13 - 2018-12-15.
Preview |
Text.
Filename: Owoeye_Weir_IEEE_2018_Classification_of_radical_web_text_using_a_composite_based.pdf
Accepted Author Manuscript Download (344kB)| Preview |
Abstract
The spread of terrorism and extremism activities on the Internet has created the need for intelligence gathering via Web and real-time monitoring of potential websites for extremist activities. However, the manual classification for such contents is practically difficult and time-consuming. In response to this challenge, an automated classification system called Composite technique was developed. This is a computational framework that explores the combination of both semantics and syntactic features of textual contents of a Web page. We implemented the framework on a set of extremist Web pages - a dataset that has been subjected to a manual classification process. Thereby, we developed a classification model on the data using the J48 decision algorithm, to generate a measure of how well each page can be classified into their appropriate classes. The classification result obtained from our method when compared with other states of the art, indicated a 96% success rate overall in classifying Web pages when matched against the manual classification.
ORCID iDs
Owoeye, Kolade Olawande and Weir, George R. S. ORCID: https://orcid.org/0000-0002-6264-4480;-
-
Item type: Conference or Workshop Item(Paper) ID code: 67249 Dates: DateEvent13 December 2018Published1 November 2018AcceptedSubjects: Bibliography. Library Science. Information Resources > Library Science. Information Science Department: Faculty of Science > Computer and Information Sciences Depositing user: Pure Administrator Date deposited: 11 Mar 2019 16:39 Last modified: 07 Oct 2024 00:29 URI: https://strathprints.strath.ac.uk/id/eprint/67249