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

<p>This paper uses the BTM algorithm, which has been improved by word embedding and self-attention mechanisms, to analyze the degree of embedding of innovation theory in college students’ management. By analyzing the principle of attention mechanism and self-attention mechanism, it constructs the embedding analysis model for higher education innovation theory. By analyzing the cw2vec and word2vec models, the expression of innovation theory vocabulary is derived. Based on the improved BTM algorithm, the WESA-BTM model is applied to give higher weights to the subject words with higher subject contributions. Parameter solving, as well as derivation, were used to determine the impact of innovation theory on college students’ management follow-up. The results show that the improved BTM algorithm can effectively analyze the embeddedness of innovation theory in college students’ management, and the WESA-BTM model in Web Snippets is evaluated to be −573.26 at the number of topics of 20 and −561.71 at the number of topics of 40. This study improves the efficiency of college students’ management in colleges and universities to a certain extent.</p>
</abstract>

This paper uses the BTM algorithm, which has been improved by word embedding and self-attention mechanisms, to analyze the degree of embedding of innovation theory in college students’ management. By analyzing the principle of attention mechanism and self-attention mechanism, it constructs the embedding analysis model for higher education innovation theory. By analyzing the cw2vec and word2vec models, the expression of innovation theory vocabulary is derived. Based on the improved BTM algorithm, the WESA-BTM model is applied to give higher weights to the subject words with higher subject contributions. Parameter solving, as well as derivation, were used to determine the impact of innovation theory on college students’ management follow-up. The results show that the improved BTM algorithm can effectively analyze the embeddedness of innovation theory in college students’ management, and the WESA-BTM model in Web Snippets is evaluated to be −573.26 at the number of topics of 20 and −561.71 at the number of topics of 40. This study improves the efficiency of college students’ management in colleges and universities to a certain extent.

The Embedding of Higher Education Innovation Theory in the Management of College Students in the Context of Informatization

Applied Mathematics and Nonlinear Sciences

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

This paper uses the BTM algorithm, which has been improved by word embedding and self-attention mechanisms, to analyze the degree of embedding of innovation...

The Embedding of Higher Education Innovation Theory in the Management of College Students in the Context of Informatization

Online veröffentlicht: 11. Nov. 2023

Seitenbereich: -

Eingereicht: 06. Jan. 2023

Akzeptiert: 22. Mai 2023

DOI: https://doi.org/10.2478/amns.2023.2.01081

Schlüsselwörter
Word embedding, BTM algorithm, WESA-BTM model, Innovation theory, University student management

© 2023 Chunlin Yang, published by Sciendo

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

The Embedding of Higher Education Innovation Theory in the Management of College Students in the Context of Informatization

Online veröffentlicht: 11. Nov. 2023

Seitenbereich: -

Eingereicht: 06. Jan. 2023

Akzeptiert: 22. Mai 2023

DOI: https://doi.org/10.2478/amns.2023.2.01081

SchlüsselwörterWord embedding, BTM algorithm, WESA-BTM model, Innovation theory, University student management

© 2023 Chunlin Yang, published by Sciendo

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

Schlüsselwörter
Word embedding, BTM algorithm, WESA-BTM model, Innovation theory, University student management