An Embedded-Based Weighted Feature Selection Algorithm for Classifying Web Document

<table class="table-group" id="tab5"><tr><td><table class="table"><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr class="thead"><td class="align_left">#</td><td class="align_center">High-frequency words</td><td class="align_center">HEF and link text</td></tr><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr><td class="align_left">1</td><td class="align_center">Database</td><td class="align_center">Medical</td></tr><tr><td class="align_left">2</td><td class="align_center">Reference</td><td class="align_center">Supplementation</td></tr><tr><td class="align_left">3</td><td class="align_center">Functions</td><td class="align_center">Metabolic</td></tr><tr><td class="align_left">4</td><td class="align_center">Reviews</td><td class="align_center">Gene</td></tr><tr><td class="align_left">5</td><td class="align_center">Effects</td><td class="align_center">Immune</td></tr><tr class="table-tr"><td colspan="3"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Some of the text features recommended in Figure <a href="../fig8/">8</a> by existing (based on high-frequency count) and proposed (based on HEF and link text) algorithms.</div>

Wireless Communications and Mobile Computing

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Table 5

Table 5: An Embedded-Based Weighted Feature Selection Algorithm for Classifying Web Document 