Proceedings of the 2nd International Conference on Intelligent Design and Innovative Technology (ICIDIT 2023)

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Research on emotion evaluation model based on automobile style keywords

Authors
Gareth Zhu1, Zepei Wang1, *, Pengchun Tang1, Tony He1, Jiaxin Wang1, Yuanhua Lang1, Siqi Wang1, Wenjuan Shao1, Kenny Huang1, Shuang Yan1
1Phoenix Auto Intelligence, 401121, Chongqing, China
*Corresponding author. Email: wangzp1@changan.com.cn
Corresponding Author
Zepei Wang
Available Online 10 October 2023.
DOI
10.2991/978-94-6463-266-8_50How to use a DOI?
Keywords
design style; driving style; automobile; LDA model; emotional evaluation model
Abstract

Aiming at the problems of automobile enterprises’ product design and use experience emotion evaluation model, such as insufficient data collection range, high cost, low data accuracy, low utilization rate of unstructured data, based on Text mining technology, emotion analysis technology and LDA Topic model algorithm is used to research topic discovery. And apply the results of theme discovery to the knowledge service of automotive style evaluation, construct a comprehensive evaluation model based on emotional evaluation of automotive style. Finally, the feasibility and practicality of the model were verified through an example. This study can effectively analysis consumers' emotional tendencies towards products and their comprehensive evaluation of automotive style, enrich the existing product evaluation methods and methods of automotive enterprises, and provide decision-making support for the design of new car models for automotive enterprises.

Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2nd International Conference on Intelligent Design and Innovative Technology (ICIDIT 2023)
Series
Atlantis Highlights in Intelligent Systems
Publication Date
10 October 2023
ISBN
978-94-6463-266-8
ISSN
2589-4919
DOI
10.2991/978-94-6463-266-8_50How to use a DOI?
Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Gareth Zhu
AU  - Zepei Wang
AU  - Pengchun Tang
AU  - Tony He
AU  - Jiaxin Wang
AU  - Yuanhua Lang
AU  - Siqi Wang
AU  - Wenjuan Shao
AU  - Kenny Huang
AU  - Shuang Yan
PY  - 2023
DA  - 2023/10/10
TI  - Research on emotion evaluation model based on automobile style keywords
BT  - Proceedings of the 2nd International Conference on Intelligent Design and Innovative Technology (ICIDIT 2023)
PB  - Atlantis Press
SP  - 460
EP  - 470
SN  - 2589-4919
UR  - https://doi.org/10.2991/978-94-6463-266-8_50
DO  - 10.2991/978-94-6463-266-8_50
ID  - Zhu2023
ER  -