Open AccessEcommerce Product Rating System Based on Senti-Lexicon Analysis
Author(s) -
Bahar Uddin Mahmud,
Shib Shankar Bose,
Md. Mujibur Rahman Majumder,
Mohammad Shamsul Arefin,
A Sharmin
Publication year - 2020
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.h6437.069820
Subject(s) - sentiment analysis , product (mathematics) , lexicon , vendor , computer science , quality (philosophy) , section (typography) , mobile phone , phone , natural language processing , marketing , business , linguistics , telecommunications , mathematics , philosophy , geometry , epistemology , operating system
E-commerce is one of the popular systems for buying and selling the products. In comment section of products that they have purchased, customer express their opinion based on the quality of product, the attitude of vendor, the delivery of product etc. This information acts as a reference for the new customers, whether they have bought the product or not. To evaluate the users’ comments, sentiment analysis is played important roles where this approach not only focuses on the product itself but also the features of product itself. In this work, We have calculated the score /rating of user’s sentiment for Amazon products i.e. Mobile phone; by taking the comments from the review section of product which is implied by some words or phrases, are very significant and meaningful to express users’ opinion. This approach performs sentiment analysis using lexicon based approach with the help of Natural Language Toolkit (NLTK) and compare the result with the Amazon’s own product rating. The experimental results prove the effectiveness of the approach.