Abstract:
Web pages consist of not only actual
content, but also other elements such as branding
banners, navigational elements, advertisements,
copyright etc.Irrelevant content in the Web page is
treated as noisy content. This noisy content is
typically not related to the main subjects of the
webpages. A method is necessary to extract the
informative content and discard the noisy content
from Web pages. This system is used an integration
of textual and visual importance features to extract
the informative contents from Web pages. Initially a
web page is converted into Document Object Model
(DOM) tree. For each node in the DOM tree,
textual and visual importance is calculated. Textual
importance and visual importance is combined to
form hybriddensity.DensitySumis calculated and
used in content extraction algorithm to extract the
informative content from Web pages. The algorithm
is tested with various web domains and styles of
web pages. Performance of web content extraction
is obtained by calculating precision and recall.
