Research on the mechanism and optimization strategy of deep learning algorithm based on CNTM model in digital governance

Shen Lou

doi:10.1117/12.3034766

11 July 2024 Research on the mechanism and optimization strategy of deep learning algorithm based on CNTM model in digital governance

Shen Lou

Author Affiliations +

Proceedings Volume 13210, Third International Symposium on Computer Applications and Information Systems (ISCAIS 2024); 1321025 (2024) https://doi.org/10.1117/12.3034766
Event: Third International Symposium on Computer Applications and Information Systems (ISCAIS 2023), 2024, Wuhan, China

Abstract

In today's era of advancement, the significance of digital technology and data resources in government governance has escalated. This article introduces the CNTM model, which stands as a novel topic model incorporating convolutional neural network (CNN) and long short-term memory network (LSTM). It can effectively model topic discovery and topic evolution in information networks. First, the CNTM model achieves in-depth representation of topics in information networks by integrating the advantages of CNN and LSTM and combining text content and network structure information. Secondly, the CNTM model can use topic model learning to predict and analyze the process and results of information dissemination, helping government agencies understand the evolution trends of social public opinion and public topics, and respond and intervene in a timely manner. To maximize the impact of the CNTM model in digital governance, this paper enhances its structure and algorithm, aiming to enhance its capability in processing extensive network data. It also optimizes the model parameters to improve the accuracy of topic discovery and information dissemination prediction. To sum up, the CNTM model, as a new topic model based on CNN and LSTM, demonstrates a powerful mechanism and optimization strategy in digital governance, provides effective information tools for government agencies, and promotes the intelligence and precise development of digital governance.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Shen Lou "Research on the mechanism and optimization strategy of deep learning algorithm based on CNTM model in digital governance", Proc. SPIE 13210, Third International Symposium on Computer Applications and Information Systems (ISCAIS 2024), 1321025 (11 July 2024); https://doi.org/10.1117/12.3034766

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KEYWORDS

Data modeling

Feature extraction

Convolutional neural networks

Performance modeling

Convolution

Correlation coefficients

Decision making

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