Designing of Product and Sales Review System

Abstract

Abstract

With the quick development of the Internet, clients' capacity to distribute content has made dynamic electronic groups that give an abundance of item data. Shoppers incline toward perusing surveys to choose whether to purchase an item. In any case, the high volume of surveys that are normally distributed for a solitary item makes it harder for people to find the best audits and comprehend the genuine hidden nature of an item considering the surveys. Also, the maker of an item needs to recognize the surveys that impact the client base, and inspect the substance of these audits. In this paper, we propose two positioning instruments for positioning item surveys: a customer arranged positioning system positions the audits as per their normal support, and a maker situated positioning component positions the audits as indicated by their normal impact on deals. Our positioning component joins econometric examination with content mining procedures by and large, with subjectivity investigation. We demonstrate that subjectivity investigation can give valuable pieces of information about the supportiveness of an audit and about its effect on deals. Our outcomes can have a few ramifications for the market outline of online supposition gatherings.

Keywords: Sales, Product, Data

Cite this Article

Akanksha Mittal, Rajan Kumar Sharma. Designing of Product and Sales Review System. E - Commerce for Future & Trends. 2017; 4(1): 3–8p.