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Research on the effect of government media and users’ emotional experience based on LSTM deep neural network

  • S.I. : Machine Learning based semantic representation and analytics for multimedia application
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Abstract

Different government media have different communication effects and users' emotional experience. It carries on a comparative research on government media selecting three different types of government media which include China’s Police Online, Central Committee of the Communist Youth League, and China’s Fire Control in the context of public health emergencies. Based on the deep learning technique, the emotion classification model of long-term memory network is constructed to analyze the emotion of the users’ comments of different government media; taking the number of contents, the number of retweets, the number of praises, and the number of comments as evaluating indicators to do comparative analysis to cross platform government medias. Through the comparative results, it is found that different types and platforms of government media have great differences in users’ emotional experience; the emotion performance of users’ comments is strongly related to the information communication power and effectiveness of government media.

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Funding

This work was supported by Key Project of Jilin Province Education Science During the 13th Five Year Plan in 2020: Research on new teaching mode in big data cloud education environment (ZD20024).

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Authors and Affiliations

  1. Jilin University of Finance and Economics, Changchun, 130117, China

    Nan Wang, Xinlong Lv & Shanwu Sun

  2. Shenyang Aerospace University, Shenyang, 110136, China

    Qingjun Wang

  3. Nanjing University of Aeronautics and Astronautics, Nanjing, 210016, China

    Qingjun Wang

Authors
  1. Nan Wang
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  2. Xinlong Lv
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  3. Shanwu Sun
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  4. Qingjun Wang
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Contributions

Design of topic selection and research framework, WN; Data collection and analysis and paper writing and revision, LX and SS. All authors have read and agreed to the published version of the manuscript.

Corresponding author

Correspondence to Qingjun Wang.

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Wang, N., Lv, X., Sun, S. et al. Research on the effect of government media and users’ emotional experience based on LSTM deep neural network. Neural Comput & Applic 34, 12505–12516 (2022). https://doi.org/10.1007/s00521-021-06567-6

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  • DOI: https://doi.org/10.1007/s00521-021-06567-6

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