Open AccessExamining Hidden Meaning of E-commerce Platform
Author(s) -
Rajesh Bose,
Raktim Kumar Dey,
Srabanti Chakraborty,
Sandip Roy,
Debabrata Sarddar
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.l3648.1081219
Subject(s) - product (mathematics) , purchasing , e commerce , lexicon , meaning (existential) , task (project management) , customer satisfaction , set (abstract data type) , purchasing decision , business , marketing , process (computing) , sentiment analysis , computer science , advertising , world wide web , psychology , engineering , artificial intelligence , geometry , mathematics , systems engineering , psychotherapist , programming language , operating system
Different e-commerce companies try to maintain high importance for their customer satisfactions. It helps them to understand the performance of their products. Nowadays customers trust on the product reviews while shipping online. But it is a cumbersome task to handle millions of customer reviews within specific time period. Due to this problem consumers usually follow the set of reviews before taking decision for purchasing any products from online. Although, each consumer rates the product from 1 to 5 stars, these overall product rating judge products towards their customers satisfaction. Consumers also provide a text based summary as a review of their experiences and opinions about the products. Customer sentiment analysis is a method to process these customer reviews to summarize different products. In this manuscript, we analyzed the text summery of Amazon food products using NRC Emotion Lexicon to determine the overall responses of the products using eight emotions of the customers. Our result can be used to take further decision making for the future of the products.