Consumer emotion analysis based on artificial intelligence and statistical analysis technology

Guanzhen Song

doi:10.1117/12.2644550

10 November 2022 Consumer emotion analysis based on artificial intelligence and statistical analysis technology

Guanzhen Song

Proceedings Volume 12301, 6th International Conference on Mechatronics and Intelligent Robotics (ICMIR2022); 123011W (2022) https://doi.org/10.1117/12.2644550
Event: 6th International Conference on Mechatronics and Intelligent Robotics, 2022, Kunming, China

Abstract

Shopping review information is a comprehensive evaluation of the quality, price, after-sales service and other dimensions of the product after the consumer purchases the product. This information implies the consumer's satisfaction with a certain product and emotion for a type of product. This plays a vital role in the later product push of merchants and private customization services. Therefore, it is particularly important to intelligently analyze consumer evaluation data and perform fine-grained sentiment analysis on product characteristics to help users understand a large number of consumer evaluation data. Therefore, in this paper, combined with the data background, in the implementation process of SVM, the threshold between the support vector and the point vector is fully utilized for denoising, which improves the accuracy of the system. In terms of operation, the calculation time is saved by decomposing the original point vector, and the time efficiency is improved.

Citation Download Citation

Guanzhen Song "Consumer emotion analysis based on artificial intelligence and statistical analysis technology", Proc. SPIE 12301, 6th International Conference on Mechatronics and Intelligent Robotics (ICMIR2022), 123011W (10 November 2022); https://doi.org/10.1117/12.2644550

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