Identifying and prioritizing the product attributes based on sentiment analysis and weighted formal concept analysis

JIITA, vol.6 no.4, p.624-630, 2022, DOI: 10.22664/ISITA.2021.6.4.624

Yujin Yang 1), Heejung Lee 2,*)

1) Dept. of Industrial Data Engineering, Hanyang University, Seoul, Korea
2) Dept. of Interdisciplinary Industrial Studies, Hanyang University, Seoul, Korea

Abstract: Identifying the relative strengths and weaknesses of the products from the customers’ feedback can help companies improve their product quality and competitive strength. In the digital age, it becomes increasingly important to analyze the customer’s online shopping reviews and incorporate them into product design concepts. While there is a great deal of research in this area, aspect-level sentiment analysis considering product attributes is one of the most challenging works. This study provides a new practical approach that employs sentiment analysis and weighted formal concept analysis to analyze online reviews. We conducted a case study for hairdryer brands; 17 attributes were collected and evaluated for the product quality of each brand, and Weighted Formal Concept Analysis prioritized the product attributes according to positive and negative viewpoints. The results are expected to provide helpful insights for hairdryer product designers.

Keywords: sentiment analysis, weighted formal concept analysis, hairdryer


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