  Comments for a product or a news article are rapidly growing and became a
medium of measuring quality products or services. Consequently, spammers have
been emerged in this area to bias them toward their favor. In this paper, we
propose an efficient spammer detection method using structural rank of author
specific term-document matrices. The use of structural rank was found effective
and far faster than similar methods.
