Fake Comment detectionof Products
T. Manoranjitham1, Kumar Ankit2

1T. Manoranjitham*, Assistant Professor (S.G) , Department of Computer Science and Engineering at SRM Institute of Science and Technology.
2Kumar Ankit, Student, Bachelor of Technology in Computer Science and Engineering at SRM Institute of Science and Technology.
Manuscript received on February 10, 2020. | Revised Manuscript received on February 23, 2020. | Manuscript published on March 10, 2020. | PP: 2143-2146 | Volume-9 Issue-5, March 2020. | Retrieval Number: E3045039520/2020©BEIESP | DOI: 10.35940/ijitee.E3045.039520
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Millions of people all over the world use various kind of websites all over the world, be it Facebook, Twitter or the different shopping websites. They have impacted our life in a great way and specifically the shopping websites have made our life so much easier. To buy different products we don’t need to go anywhere. We can just sit at home and access these websites and order any item that we want to buy and it will be delivered at our home. Now one thing that all of us do before buying any product online is that we see the reviews of that product to know if the product is actually good or not. People used to do it long before the internet was even accessible. Then they used to take reviews directly from other people. This has been going on for a long time. Nowadays people browse thousands reviews available online before finally buying any product and they buy the product only if most of the reviews about the product are positive. It has happened with all of us that we want to buy a product but when we see that it has got many negative reviews , then we do not buy that particular product. Now the sellers know about this mind set of the people and they tend to play with it. What they do is that they hire people for writing fake reviews. These fake reviews can be of two types: 1) Good reviews using which their own product can be sold in big quantity. 2) Bad review so that they can defame some other product which is giving them competition. Many companies hire people so that they can write fake reviews and pay them good amount of money. Fake reviews weather a positive one or a negative one is bad and should not be entertained as it misleads the customer and it may also cause loss to the sellers. So we would like to know about these fake reviews and the people who write them so that we can protect people as well as the sellers from any kind of financial losses. 
Keywords: Fake Reviews, Fake Review Detection, IP Address, Seller
Scope of the Article: Software Product Lines