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

06-10-2021
S.I. : Machine Learning based semantic representation and analytics for multimedia application

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Authors: Nan Wang; Xinlong Lv; Shanwu Sun; Qingjun Wang
Published in: Neural Computing and Applications | Issue 15/2022

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Abstract

The article delves into the impact of government media on users' emotional experiences, leveraging LSTM deep neural networks for emotion analysis. It compares different types of government media across various platforms, such as micro-blog and DouYin, focusing on user engagement and emotional fluctuations. The study uses the COVID-19 event as a case study, analyzing user comments to draw conclusions about the effectiveness of different government media strategies. The research highlights the importance of emotional resonance in government communication and provides valuable insights into the strengths and weaknesses of various media platforms.

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Title: Research on the effect of government media and users’ emotional experience based on LSTM deep neural network
Authors: Nan Wang
Xinlong Lv
Shanwu Sun
Qingjun Wang
Publication date: 06-10-2021
Publisher: Springer London
Published in: Neural Computing and Applications / Issue 15/2022
Print ISSN: 0941-0643
Electronic ISSN: 1433-3058
DOI: https://doi.org/10.1007/s00521-021-06567-6

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

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