Call For Paper Volume:4 Issue:10 Oct'2017 |

PC Assembly based on User Benchmark

Publication Date : 04/04/2016

Author(s) :

Prof.Deepali Patil , Arihant Chhajed , Azhar Kanorwala , Abitya Kondappan , Nikhil Anand.

Volume/Issue :
Volume 3
Issue 3
(04 - 2016)

Abstract :

Nowadays, purchasing branded Desktop PC from a single Vendor is getting expensive day by day. Also consumers are required to rely on single Vendor for their whole Desktop PC and thereby compromising on the hardware so as to reduce cost. To overcome this problem a new approach was developed i.e. to assemble the PC by purchasing its essential component from different vendors. A large number of websites allow users to post reviews about product they bought. People who find it difficult to understand the technical specification of a product often tends to read reviews. There are thousands of reviews of customers available on different e-commerce portal related to a product. So it is difficult for the customers to get an idea about the product from wide range of reviews. In this project we aim to summarize the customer’s reviews in factual form using part-of-speech tagger (POS), Lexicon algorithm, and Naive Bayesian classifier which are all based on Natural language processing (NLP).We have developed a rating system which rates each computer peripherals based on its performance & cost and thereby calculating the final rating of assembled system virtually so that consumers can judge whether the assembled product meets all the requirement as expected.

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PC Assembly based on User Benchmark

March 28, 2016