Valuable Product for Real World Requirement
Kathiravan Srinivasan1, Senthil Kumaran S2, Velmurugan P3, Srinivasan N4

1Kathiravan Srinivasan, Department of Information Technology, School of Information Technology and Engineering, Vellore Institute of Technology (VIT), Vellore, Tamil Nadu, India.
2Senthil Kumaran S* Department of Manufacturing Engineering, School of Mechanical Engineering, Vellore Institute of Technology (VIT), Vellore, Tamil Nadu, India.
3Velmurugan.P, Department of Mechanical Engineering, School of Mechanical and Automotive Egineering, College of Engineering and Technology, Dilla University, Ethioipia.
4Srinivasan N Department of Manufacturing Engineering School of Mechanical Engineering, Vellore Institute of Technology (VIT), Vellore, Tamil Nadu, India. 

Manuscript received on November 18, 2019. | Revised Manuscript received on 27 November, 2019. | Manuscript published on December 10, 2019. | PP: 3423-3430 | Volume-9 Issue-2, December 2019. | Retrieval Number: B6354129219/2019©BEIESP | DOI: 10.35940/ijitee.B6354.129219
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Abstract: In this modern age of online shopping, every platform that offers to galvanize their customers with exciting offers sometimes end up delivering the prodigal product. A different set of customer reviews is available on the website of these online shopping portals, but they do not give a proper way of analyzing in terms of statistics. This project will give its contribution in giving a numeric percentage based on the statistics generated by the help of the customer review on a specific product. The customer on websites of Amazon, Flipkart, snap deal and many more, post their thoughts on the product delivery and those data would be the key to the method. The method of approach that will be used to generate the base of benchmark criteria of product relevancy is sentimental analysis. The opinions in terms of text will be computationally identified in order to determine whether the writer’s attitude towards a particular product is positive, negative or neutral. The main objective of the project is to give a clear path of fundaments to work on while choosing a product. The methodology and idea can be used in other fields of work as well. 
Keywords: Sentiment Analysis, Product Reviews, Tokens, Tweets, Experimental, Economy
Scope of the Article: Requirements Engineering