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

<p>Focusing on elucidating Marx’s urban critical thought is of positive significance for understanding China’s urbanization path and shaping the socialist urban development model with Chinese characteristics in the new era. The main point of Marx’s urban critical thought is the starting point of this paper, and it examines the manifestation and evolution logic of Marx’s urban critical thought. For the textual logic of Marx’s urban critical thought, the Word2vec model is utilized to extract textual features. Then, the BERT model is introduced for text word vector construction, and a multiclassification model of Marx’s urban critical thought text is established based on the fusion of multiple semantic information features. After completing the construction of the method, relevant texts about Marx’s urban critical thought were collected to construct a dataset, and the classification effect was analyzed to explore the evolutionary development trend of Marx’s urban critical thought. The results show that the text classification model can achieve the optimal classification accuracy of 93.15% by applying the 15th layer. The optimal performance is obtained when the local text word length is 100, and the sustainability growth of Marx’s urban critical thought between 1950 and 2020 reaches 102.34%. An in-depth analysis of Marx’s urban critical thought evolutionary logic can provide theoretical guidance for the modernization of Chinese cities.</p>
</abstract>

Focusing on elucidating Marx’s urban critical thought is of positive significance for understanding China’s urbanization path and shaping the socialist urban development model with Chinese characteristics in the new era. The main point of Marx’s urban critical thought is the starting point of this paper, and it examines the manifestation and evolution logic of Marx’s urban critical thought. For the textual logic of Marx’s urban critical thought, the Word2vec model is utilized to extract textual features. Then, the BERT model is introduced for text word vector construction, and a multiclassification model of Marx’s urban critical thought text is established based on the fusion of multiple semantic information features. After completing the construction of the method, relevant texts about Marx’s urban critical thought were collected to construct a dataset, and the classification effect was analyzed to explore the evolutionary development trend of Marx’s urban critical thought. The results show that the text classification model can achieve the optimal classification accuracy of 93.15% by applying the 15th layer. The optimal performance is obtained when the local text word length is 100, and the sustainability growth of Marx’s urban critical thought between 1950 and 2020 reaches 102.34%. An in-depth analysis of Marx’s urban critical thought evolutionary logic can provide theoretical guidance for the modernization of Chinese cities.

A Textual Logical Analysis of the Evolution of Marx’s Urban Critical Thought

Applied Mathematics and Nonlinear Sciences

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

Focusing on elucidating Marx’s urban critical thought is of positive significance for understanding China’s urbanization path and shaping the socialist urban...

A Textual Logical Analysis of the Evolution of Marx’s Urban Critical Thought

Online veröffentlicht: 30. Mai 2024

Seitenbereich: -

Eingereicht: 16. Feb. 2024

Akzeptiert: 28. Apr. 2024

DOI: https://doi.org/10.2478/amns-2024-1275

Schlüsselwörter
Textual logic, Word2vec model, BERT model, Multivariate semantic information, Urban critical thought

© 2024 Conglai Li, published by Sciendo

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

A Textual Logical Analysis of the Evolution of Marx’s Urban Critical Thought

Online veröffentlicht: 30. Mai 2024

Seitenbereich: -

Eingereicht: 16. Feb. 2024

Akzeptiert: 28. Apr. 2024

DOI: https://doi.org/10.2478/amns-2024-1275

SchlüsselwörterTextual logic, Word2vec model, BERT model, Multivariate semantic information, Urban critical thought

© 2024 Conglai Li, published by Sciendo

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

Schlüsselwörter
Textual logic, Word2vec model, BERT model, Multivariate semantic information, Urban critical thought