Exploring the Flux of Cherry Blossom Imagery in Japanese Literature and Culture by Combining Social Network Analysis Methods

Online veröffentlicht: 31. Jan. 2024

Eingereicht: 26. Dez. 2023

Akzeptiert: 31. Dez. 2023

DOI: https://doi.org/10.2478/amns-2024-0304

Schlüsselwörter

LDA topic mining, Perplexity, Social network algorithm, Topic density, Cherry blossom imagery

© 2024 Meizi Han, published by Sciendo

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