Title:
PCA-E-BASED PRODUCT KANSEI SEMANTIC WORD EXTRACTION METHOD
Document Type and Number:
WIPO Patent Application WO/2023/240858
Kind Code:
A1
Abstract:
A principal component analysis (PCA)-E-based product Kansei semantic word extraction method. First, a product Kansei evaluation vector matrix is constructed by using original Kansei words, dimensionality reduction is then performed by means of PCA, and Kansei words representing principal components are determined on the basis of principal component loading coefficients. Kansei words extracted in this way can have better interpretability, and users are helped to better understand selected Kansei words and make evaluation accurately.
Inventors:
ZHAO WU (CN)
GUO XIN (CN)
YU MIAO (CN)
ZHANG KAI (CN)
JIANG WEI (CN)
JIANG CHONG (CN)
LAI BING (CN)
JIANG YIWEI (CN)
LI JUN (CN)
WU BO (CN)
CHEN XINGYU (CN)
GUO XIN (CN)
YU MIAO (CN)
ZHANG KAI (CN)
JIANG WEI (CN)
JIANG CHONG (CN)
LAI BING (CN)
JIANG YIWEI (CN)
LI JUN (CN)
WU BO (CN)
CHEN XINGYU (CN)
Application Number:
PCT/CN2022/125338
Publication Date:
December 21, 2023
Filing Date:
October 14, 2022
Export Citation:
Assignee:
UNIV SICHUAN (CN)
International Classes:
G06F40/289
Foreign References:
| CN115062702A | 2022-09-16 | |||
| CN111985209A | 2020-11-24 | |||
| CN111414753A | 2020-07-14 | |||
| CN106202481A | 2016-12-07 | |||
| US20200160851A1 | 2020-05-21 |
Attorney, Agent or Firm:
BEIJING ZHONGJI WEITIAN PATENT AGENCY CO. LTD (CN)
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