Open AccessValuable Product ForReal World Requirement
Author(s) -
Kathiravan Srinivasan*,
S. Senthil,
P. Velmurugan,
N. Srinivasan
Publication year - 2019
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.b6354.129219
Subject(s) - product (mathematics) , computer science , benchmark (surveying) , set (abstract data type) , key (lock) , work (physics) , order (exchange) , customer base , new product development , path (computing) , operations research , data science , marketing , business , mathematics , engineering , computer security , mechanical engineering , geometry , geodesy , finance , programming language , geography
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.