Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/41318
Title: Supervised categorization of JavaScript™ using program analysis features
Authors: Lu, W. 
Kan, M.-Y. 
Issue Date: 2005
Source: Lu, W.,Kan, M.-Y. (2005). Supervised categorization of JavaScript™ using program analysis features. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 3689 LNCS : 160-173. ScholarBank@NUS Repository.
Abstract: Web pages often embed scripts for a variety of purposes, including advertising and dynamic interaction. Understanding embedded scripts and their purpose can often help to interpret or provide crucial information about the web page. We have developed a functionality-based categorization of JavaScript, the most widely used web page scripting language. We then view understanding embedded scripts as a text categorization problem. We show how traditional information retrieval methods can be augmented with the features distilled from the domain knowledge of JavaScript and software analysis to improve classification performance. We perform experiments on the standard WT10G web page corpus, and show that our techniques eliminate over 50% of errors over a standard text classification baseline. © Springer-Verlag Berlin Heidelberg 2005.
Source Title: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
URI: http://scholarbank.nus.edu.sg/handle/10635/41318
ISBN: 3540291865
ISSN: 03029743
Appears in Collections:Staff Publications

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