Research on Automobile Product User Experience based on Semantic Analysis

The advantages and disadvantages of automobile products are related to the fate of automobile enterprises, in which user experience is very important in the design of automobile products. At present, most of the research on the user experience of automotive products focuses on the analysis of user behavior information, and mining the user experience characteristics from online reviews is a new direction. The first is to determine the data source and preprocess the data source; The second is to use word segmentation technology, word vector technology and Word2Vec model to build the automobile product feature word database; The third is to use factor analysis method to screen out the most representative product feature words; The fourth is to use syntactic dependency to extract the views of user comments; The fifth is the user experience analysis based on the sentiment dictionary in the automobile industry. To a certain extent, the method proposed in this paper satisfies the user experience method to provide certain reference opinions for automotive product design.

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Publication Details

Journal
International Journal of Social Sciences and Public Administration
Published
2024-08-23
DOI
https://doi.org/10.62051/ijsspa.v4n1.21
Primary Topic
Color perception and design
Type
article
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article

Research on Automobile Product User Experience based on Semantic Analysis

Hongjing He, Yang Li, Wei Shang
International Journal of Social Sciences and Public Administration
Color perception and design
article

Research on Automobile Product User Experience based on Semantic Analysis

Hongjing He, Yang Li, Wei Shang
article en

Abstract

The advantages and disadvantages of automobile products are related to the fate of automobile enterprises, in which user experience is very important in the design of automobile products. At present, most of the research on the user experience of automotive products focuses on the analysis of user behavior information, and mining the user experience characteristics from online reviews is a new direction. The first is to determine the data source and preprocess the data source; The second is to use word segmentation technology, word vector technology and Word2Vec model to build the automobile product feature word database; The third is to use factor analysis method to screen out the most representative product feature words; The fourth is to use syntactic dependency to extract the views of user comments; The fifth is the user experience analysis based on the sentiment dictionary in the automobile industry. To a certain extent, the method proposed in this paper satisfies the user experience method to provide certain reference opinions for automotive product design.

International Journal of Social Sciences and Public AdministrationVol. 4(1)
China Automotive Technology and Research Center (CN)
Industry, innovation and infrastructure
Openalex Percentile: Top 82%
Color perception and design
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Research on Automobile Product User Experience based on Semantic Analysis — Hongjing He, Yang Li, et al. · International Journal of Social Sciences and Public Administration (2024) | TGRS Research Map | TGRS