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Spreading mechanism of Weibo public opinion phonetic representation based on the epidemic model

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Abstract

Public opinion is the abbreviation of public ideas, which is the sum of the beliefs, attitudes, opinions and emotions expressed by the masses about various phenomena in the society. Network public opinion is not only the mapping of public opinion in the network, but also the direct response of social public opinion. Weibo public opinion has gradually become an important medium for people to obtain public opinion in time. The outbreak of Weibo public opinion is very likely to cause social repercussions, which will even affect people’s trust in the government and even social stability. The scale of the Internet is expanding, the number of users is increasing, and the applications provided by the Internet are becoming more and more popular. In this context, Weibo public opinion analysis has become an important research topic. Facing the rapid growth of micro blog information, how to obtain the hot topics of micro blog public opinion timely, comprehensively and accurately is the primary problem to be solved in the process of micro blog public opinion analysis. Based on the infectious disease model, this paper proposes an analysis model of Weibo public opinion communication. The speech analysis model is proposed to extract the information for the processing, and the representation of the data is applied to improve the algorithm efficiency. The experimental results compared with the state-of-the-art have proven the satisfactory performance.

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Funding

Funding was provided by Yunnan Basic Applied Research Project.

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Authors and Affiliations

  1. School of Basic Medical Sciences, Dali University, Yunnan, 671000, Dali, China

    Yuanyuan Wang

  2. School of Management, West Yunnan University of Applied Sciences, Yunnan, 671000, Dali, China

    Xinliang Huang

  3. Graduate School, Yunnan Minzu University, Yunnan, 650031, Kunming, China

    Bingqing Li

  4. School of Economics and Management, Xi’an University of Technology, Shaanxi, 710054, Xi’an, China

    Xiaoqing Liu

  5. School of Public Health, Dali University, Yunnan, 671000, Dali, China

    Yingying Ma

  6. Department of Electrical and Information Engineering, Shaanxi Railway Institute, Shaanxi, 714000, Weinan, China

    Xinjing Huang

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  1. Yuanyuan Wang
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  2. Xinliang Huang
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  3. Bingqing Li
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  4. Xiaoqing Liu
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Correspondence to Xinjing Huang.

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Wang, Y., Huang, X., Li, B. et al. Spreading mechanism of Weibo public opinion phonetic representation based on the epidemic model. Int J Speech Technol 26, 11–21 (2023). https://doi.org/10.1007/s10772-020-09790-z

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  • DOI: https://doi.org/10.1007/s10772-020-09790-z

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