Early warning model of illegal E-cigarette sales based on network public opinion analysis

Dongxing Duan; Feng Zhao; Qiuchen Zhao; Zhengkun Zhang

doi:10.1117/12.2692039

23 August 2023 Early warning model of illegal E-cigarette sales based on network public opinion analysis

Dongxing Duan, Feng Zhao, Qiuchen Zhao, Zhengkun Zhang

Proceedings Volume 12784, Second International Conference on Applied Statistics, Computational Mathematics, and Software Engineering (ASCMSE 2023); 127842P (2023) https://doi.org/10.1117/12.2692039
Event: 2023 2nd International Conference on Applied Statistics, Computational Mathematics and Software Engineering (ASCMSE 2023), 2023, Kaifeng, China

Abstract

The current online sales supervision of E-cigarette is in a blank stage. This paper proposes an early warning model for illegal E-cigarette sales based on network public opinion analysis, using web crawlers and third-party API interface calls to obtain online maps, relevant merchant names on social platforms, Text data such as business content and user comments. Then design a deep learning model with a dual-channel four-layer architecture to conduct early warning analysis on online E-cigarette sales. Through experimental comparison, it is shown that the model proposed in this paper has good performance and can provide strong support for the supervision of E-cigarette sales.

Citation Download Citation

Dongxing Duan, Feng Zhao, Qiuchen Zhao, and Zhengkun Zhang "Early warning model of illegal E-cigarette sales based on network public opinion analysis", Proc. SPIE 12784, Second International Conference on Applied Statistics, Computational Mathematics, and Software Engineering (ASCMSE 2023), 127842P (23 August 2023); https://doi.org/10.1117/12.2692039

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