We are in the era of internet where people are more techno-savvy and they surf internet before buying a single item. Since buying a product online is easy and convenient these days, people also tending towards it as it save time and sometimes money. Also many branded products can be bought without thinking much about quality as name is enough for branded item. Nowadays various vendors also advertise their products through social media like facebook, whatsapp etc. Thus it is an extremely important to check their reliability before buying product. Buyer or client wants to check the opinion of other buyers regarding their purchase for that product. Most of the times review given by the user is not considered genuine as review was given without buying it. Sometimes review contains unrelated words. This makes a false impression on another customer and he or she may cancel buying it. Such as activity often referred as fake Review. Thus detecting fake reviews has become more important issue for customers to make better decision on purchase as well as for the trader to make their products reliable. This paper presents an active learning method for detecting fake and genuine reviews.