An E-commerce feedback review mining for a trusted seller’s profile and classification of fake and authentic feedback comments

----------------------------------------------------------------***--------------------------------------------------------------Abstract Nowadays before making a purchase from an Ecommerce site we firstly browse the online reviews of products posted by the post-purchase customers. Today Ecommerce sites uses trust models based on reputation of each sites. The trust models are computed based on the feedback ratings on E-commerce sites. The main problem that arises during the computation is the “all good reputation problem”.E-commerce sites like Amazon, EBay is highly prone to the “all good reputation problem”. Thus we need to use trust evaluation to compute the feedback ratings obtained from various E-commerce sites. For this we mine each of the feedback comments based on their dimensions and weights.So,in order to mine feedback comments an algorithm is used.