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

<p>Digital humanistic knowledge production emphasises the importance of a strong knowledge production community and differentiates from traditional knowledge production models, which include aspects such as online and cooperative knowledge development. The digital humanities knowledge production community model is already widely acknowledged. However, the features and characteristics of digital humanistic knowledge production under natural language processing are controversial. This research presents a wordVEA digital humanistic knowledge production feature mining approach based on a word2vec and variational self-encoder (VAE). The knowledge production characteristics of digital humanistic are primarily defined by the coexistence of a knowledge production structure and boundary blurring, as well as interdisciplinary collaboration thematic cohesiveness and broad horizon, as determined by the research results which effectively address the question of the characteristics of digital humanistic knowledge production through application of the word VAE method.</p>
</abstract>

Digital humanistic knowledge production emphasises the importance of a strong knowledge production community and differentiates from traditional knowledge production models, which include aspects such as online and cooperative knowledge development. The digital humanities knowledge production community model is already widely acknowledged. However, the features and characteristics of digital humanistic knowledge production under natural language processing are controversial. This research presents a wordVEA digital humanistic knowledge production feature mining approach based on a word2vec and variational self-encoder (VAE). The knowledge production characteristics of digital humanistic are primarily defined by the coexistence of a knowledge production structure and boundary blurring, as well as interdisciplinary collaboration thematic cohesiveness and broad horizon, as determined by the research results which effectively address the question of the characteristics of digital humanistic knowledge production through application of the word VAE method.

Analysis of digital humanistic knowledge production based on natural language processing

Institute for Cultural Industries Shenzhen University

Applied Mathematics and Nonlinear Sciences

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

Digital humanistic knowledge production emphasises the importance of a strong knowledge production community and differentiates from traditional knowledge...

Analysis of digital humanistic knowledge production based on natural language processing

Publié en ligne: 15 déc. 2022

Pages: 1167 - 1178

Reçu: 14 déc. 2021

Accepté: 15 mai 2022

DOI: https://doi.org/10.2478/amns.2022.1.00029

Mots clés
Digital Humanity, Knowledge Production Characteristic, WordVEA, Paradigm Shift

© 2023 Liurong Pan et al., published by Sciendo

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

Analysis of digital humanistic knowledge production based on natural language processing

Publié en ligne: 15 déc. 2022

Pages: 1167 - 1178

Reçu: 14 déc. 2021

Accepté: 15 mai 2022

DOI: https://doi.org/10.2478/amns.2022.1.00029

Mots clésDigital Humanity, Knowledge Production Characteristic, WordVEA, Paradigm Shift

© 2023 Liurong Pan et al., published by Sciendo

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

Mots clés
Digital Humanity, Knowledge Production Characteristic, WordVEA, Paradigm Shift