A weighted sum method MCDM approach for recommending product using sentiment analysis. (24th September 2020)

• Record Type: Journal Article
• Authors: Kumar, Gaurav; Parimala, N.
• Is Part Of: International journal of business information systems. Volume 35:Number 2(2020)
• Page Start: 185
• Page End: 203
• Publication Date: 2020-09-24
• Subjects: sentiment analysis -- review analysis -- e-commerce -- recommendation systems -- multi-criteria decision making -- MCDM -- weighted sum method; Information storage and retrieval systems -- Business -- Periodicals; Business -- Data processing -- Periodicals; Management information systems -- Periodicals; System design -- Periodicals; System analysis -- Periodicals; 651.8
• Languages: English
• ISSNs: 1746-0972

Abstract

In recent times, reviews of products by customers have been proliferating on the online platform. Majority of the reviews are lengthy, and going through the reviews before making a decision can be a tedious task for the user. In this paper, we extract the popular features from customers' reviews to analyse the possible opinions of these features. Choosing a product from the different combination of opinions for these features is treated as a multi-criteria decision making (MCDM) problem. Weighted sum method, a MCDM approach, is used to evaluate the priority score for each product. The product with the highest score is recommended to the user. Real-time dataset from Amazon is used to evaluate our system's performance. The experimental result shows that our proposed method produces a promising result which can help the user in the decision making process.