Utilizing text mining and Kansei Engineering to support data-driven design automation at conceptual design stage

Author:

Chiu Ming-Chuan,Lin Kong-Zhao

Funder

Ministry of Science and Technology of the Republic of China, Taiwan

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems

Reference44 articles.

1. Unsupervised extraction of popular product attributes from e-commerce web sites by considering customer reviews;Bing;ACM Trans. Internet Technol. (TOIT),2016

2. A Kansei evaluation approach based on the technique of computing with words;Chou;Adv. Eng. Inform.,2016

3. In search of new product ideas: Identifying ideas in online communities by machine learning and text mining;Christensen;Creativity Innov. Manage.,2017

4. Simulation based method considering design for additive manufacturing and supply chain: An empirical study of lamp industry;Chiu;Indust. Manage. Data Syst.,2016

5. R. Feldman, I. Dagan, Knowledge Discovery in Textual Databases (KDT), KDD, vol. 95, 1995, August, pp. 112–117.

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