A weighted sum method MCDM approach for recommending product using sentiment analysis

Gaurav Kumar and N. Parimala

International Journal of Business Information Systems, 2020, vol. 35, issue 2, 185-203

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.

Keywords: sentiment analysis; review analysis; e-commerce; recommendation systems; multi-criteria decision making; MCDM; weighted sum method. (search for similar items in EconPapers)
Date: 2020
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:ids:ijbisy:v:35:y:2020:i:2:p:185-203

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