Luo, H.; Song, W.; Zhou, W.; Lin, X.; Yu, S. An Analysis Framework to Reveal Automobile Users’ Preferences from Online User-Generated Content. Sustainability2023, 15, 13336.
Luo, H.; Song, W.; Zhou, W.; Lin, X.; Yu, S. An Analysis Framework to Reveal Automobile Users’ Preferences from Online User-Generated Content. Sustainability 2023, 15, 13336.
Luo, H.; Song, W.; Zhou, W.; Lin, X.; Yu, S. An Analysis Framework to Reveal Automobile Users’ Preferences from Online User-Generated Content. Sustainability2023, 15, 13336.
Luo, H.; Song, W.; Zhou, W.; Lin, X.; Yu, S. An Analysis Framework to Reveal Automobile Users’ Preferences from Online User-Generated Content. Sustainability 2023, 15, 13336.
Abstract
With the view toward enlivening the Chinese automobile market, this work seeks to develop a framework to reveal the tastes of Chinese car users from online user-generated content (UGC) and identify future product improvement orientation. We construct an importance-satisfaction gap analysis (ISGA) model based on sentiment analysis technique. Specifically, a novel unsupervised word-boundary-identified algorithm for the Chinese language is used to extract domain professional feature words and a set of sentiment scoring rules is constructed. By matching feature-sentiment word pairs, we calculate car users' satisfaction with different attributes based on the rules, and weigh the importance of attributes using TF-IDF method, which lay the statistic foundation for our ISGA model. We also take time into account and further analyze the ISGA model, aiming to provide new insight into the changing tastes of Chinese car users so as to suggest correct design positioning and resource allocation. The final evaluation results show that the method proposed in this paper, which integrates Chinese word-boundary-identified algorithm and sentiment lexicon matching rules, is well supported.
Keywords
Chinese automobile market; user tastes; online user-generated content; sentiment analysis
Subject
Business, Economics and Management, Business and Management
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
