Using Entity Relations for Opinion Mining of Vietnamese Comments

TL;DR

This paper introduces new methods for extracting and analyzing customer opinions from Vietnamese e-commerce reviews, focusing on emotional levels and product features to identify preferences and dislikes.

Contribution

It presents novel techniques tailored for Vietnamese reviews, emphasizing emotion analysis and product feature exploitation for opinion mining.

Findings

Effective extraction of customer opinions from Vietnamese reviews.

Identification of customer preferences and dislikes.

Enhanced understanding of emotional levels in reviews.

Abstract

In this paper, we propose several novel techniques to extract and mining opinions of Vietnamese reviews of customers about a number of products traded on e-commerce in Vietnam. The assessment is based on the emotional level of customers on a specific product such as mobile and laptop. We exploit the features of the products because they are much interested by customers and have many products in the Vietnam e-commerce market. Thence, it can be known the favorites and dislikes of customers about exploited products.