<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>In the environment of increasing pace of globalization and informatization, the distributed internet has effectively mobilized people from all countries to participate in the discussion of Marxist theory, which makes Marxist theory enriched in a decentralized, multi-node manner for the first time under the wave of globalization. Although the modern emerging distributed internet is faster and more rapid than the traditional information media methods, its accuracy is subject to a greater impact. In this paper, we collect the information of text-video web pages through a crawler program, and after filtering through artificial intelligence retrieval technology to obtain the Marxist globalization theory and extract key information points, and delete irrelevant information. Then K-means clustering algorithm is used to cluster the information collected in the distributed internet to obtain the multidimensional interpretation of Marxist’s globalization theory. This method has been proved to be effective through a large number of experiments. The existing distributed internet has a large amount of data that can be used to train artificial intelligence and has good practical conditions. This method helps Marxists to make better use of information from multiple nodes. The theoretical perspectives of working people from various countries are constantly gathered and pushed forward while saving a lot of manpower, so that Marxism can be better adapted to the rapidly developing globalized society.</p>
</abstract>

In the environment of increasing pace of globalization and informatization, the distributed internet has effectively mobilized people from all countries to participate in the discussion of Marxist theory, which makes Marxist theory enriched in a decentralized, multi-node manner for the first time under the wave of globalization. Although the modern emerging distributed internet is faster and more rapid than the traditional information media methods, its accuracy is subject to a greater impact. In this paper, we collect the information of text-video web pages through a crawler program, and after filtering through artificial intelligence retrieval technology to obtain the Marxist globalization theory and extract key information points, and delete irrelevant information. Then K-means clustering algorithm is used to cluster the information collected in the distributed internet to obtain the multidimensional interpretation of Marxist’s globalization theory. This method has been proved to be effective through a large number of experiments. The existing distributed internet has a large amount of data that can be used to train artificial intelligence and has good practical conditions. This method helps Marxists to make better use of information from multiple nodes. The theoretical perspectives of working people from various countries are constantly gathered and pushed forward while saving a lot of manpower, so that Marxism can be better adapted to the rapidly developing globalized society.

A multidimensional interpretation analysis of Marxism globalization theory based on distributed Internet

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

In the environment of increasing pace of globalization and informatization, the distributed internet has effectively mobilized people from all countries to...

A multidimensional interpretation analysis of Marxism globalization theory based on distributed Internet

Online veröffentlicht: 02. Juni 2023

Seitenbereich: -

Eingereicht: 19. Mai 2022

Akzeptiert: 21. Okt. 2022

DOI: https://doi.org/10.2478/amns.2023.1.00197

Schlüsselwörter
Marxism, distributed internet, globalization, k-means clustering, artificial intelligence

© 2023 Huan Yang, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

A multidimensional interpretation analysis of Marxism globalization theory based on distributed Internet

Online veröffentlicht: 02. Juni 2023

Seitenbereich: -

Eingereicht: 19. Mai 2022

Akzeptiert: 21. Okt. 2022

DOI: https://doi.org/10.2478/amns.2023.1.00197

SchlüsselwörterMarxism, distributed internet, globalization, k-means clustering, artificial intelligence

© 2023 Huan Yang, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Schlüsselwörter
Marxism, distributed internet, globalization, k-means clustering, artificial intelligence