  With the development of the E-commerce and reviews website, the comment
information is influencing people's life. More and more users share their
consumption experience and evaluate the quality of commodity by comment. When
people make a decision, they will refer these comments. The dependency of the
comments make the fake comment appear. The fake comment is that for profit and
other bad motivation, business fabricate untrue consumption experience and they
preach or slander some products. The fake comment is easy to mislead users'
opinion and decision. The accuracy of humans identifying fake comment is low.
It's meaningful to detect fake comment using natural language processing
technology for people getting true comment information. This paper uses the
sentimental analysis to detect fake comment.
