کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
515209 866968 2007 14 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Supervised categorization of JavaScriptTM using program analysis features
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر نرم افزارهای علوم کامپیوتر
پیش نمایش صفحه اول مقاله
Supervised categorization of JavaScriptTM using program analysis features
چکیده انگلیسی

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.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Information Processing & Management - Volume 43, Issue 2, March 2007, Pages 431–444
نویسندگان
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