Research on Automobile Product User Experience based on Semantic Analysis

Authors

  • Hongjing He
  • Li Yang
  • Wei Shang

DOI:

https://doi.org/10.62051/ijsspa.v4n1.21

Keywords:

User Experience, Word Segmentation, Word Vector, Word2Vec, Factor Analysis

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.

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References

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Published

23-08-2024

Issue

Section

Articles

How to Cite

He, H., Yang, L., & Shang, W. (2024). Research on Automobile Product User Experience based on Semantic Analysis. International Journal of Social Sciences and Public Administration, 4(1), 199-206. https://doi.org/10.62051/ijsspa.v4n1.21