Research of Deceptive Review Detection Based on Target Product Identification and Metapath Feature Weight Calculation

<table class="fixed-width table-group" id="tab5"><tr><td><table class="table"><colgroup><col style="width:4.84em"/><col style="width:7.98em"/><col style="width:8.77em"/><col style="width:8.29em"/></colgroup><tr><td class="thead-hr" colspan="4"><hr/></td></tr><tr class="thead"><td class="align_left">Dataset</td><td class="align_center">Reviews number</td><td class="align_center">Reviewers number</td><td class="align_center">Products number</td></tr><tr><td class="thead-hr" colspan="4"><hr/></td></tr><tr><td class="align_left"><i>YelpChi</i></td><td class="align_center">67395</td><td class="align_center">38063</td><td class="align_center">201</td></tr><tr><td class="align_left"><i>YelpNYC</i></td><td class="align_center">359053</td><td class="align_center">160225</td><td class="align_center">923</td></tr><tr class="table-tr"><td colspan="4"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>The distribution table of reviews, products, and reviewers in <i>Yelp.</i></div>

Complexity

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Table 5

Table 5: Research of Deceptive Review Detection Based on Target Product Identification and Metapath Feature Weight Calculation 