• Atul Khosla
• Priyanka Dayal

It is a normal practice for e-commerce Web sites to authorize their customers to write good reviews that they have get. Such comments present significant information source on these goods. They are utilizing by an intrinsic user to decide opinions of presented users before selecting to pay money for a product. They are also employed by manufactured goods producers to identify problems of their goods and to find out competitive intellect data about their opponent. In this research work, we develop a Spam detection system for different communities such as social, recommendation, Movies, and religious information. The weighted values are generated for all the mentioned categories. ANN (Artificial Neural Network) is used to classify the spammer present in the communities. The performance of the system has been evaluated by considering different parameters such as true positives, true negatives, precision, and recall.

Spam, artificial neural network, MATLAB.

"SPAM DETECTION SYSTEM USING MACHINE LEARNING TECHNIQUE ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 11, page no.301-305, November 2018, Available :http://www.jetir.org/papers/JETIRDR06046.pdf

"SPAM DETECTION SYSTEM USING MACHINE LEARNING TECHNIQUE ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 11, page no. pp301-305, November 2018, Available at : http://www.jetir.org/papers/JETIRDR06046.pdf