  Recently, Vietnamese Natural Language Processing has been researched by
experts in academic and business. However, the existing papers have been
focused only on information classification or extraction from documents.
Nowadays, with quickly development of the e-commerce websites, forums and
social networks, the products, people, organizations or wonders are targeted of
comments or reviews of the network communities. Many people often use that
reviews to make their decision on something. Whereas, there are many people or
organizations use the reviews to mislead readers. Therefore, it is so necessary
to detect those bad behaviors in reviews. In this paper, we research this
problem and propose an appropriate method for detecting Vietnamese reviews
being spam or non-spam. The accuracy of our method is up to 90%.
