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

<p>This paper first investigates the expressive features and developmental commonalities of Chinese modern and contemporary literary works, explains the paradoxical nature, and there are dilemmas in the expressive features by reviewing the data, and proposes the nationalized literary model and the cosmopolitan literary model, aiming to promote the development of Chinese modern and contemporary literature. Then, based on text mining techniques, atomic cuts are performed in the lowest fifth layer using Hidden Markov Models, and rough Chinese word splitting is performed using the n-shortest path method to find out the most likely n ambiguous word splitting results and text clustering analysis based on HMM-LDA topic models is performed on top of the splitting results. The results show that the HMM-LDA text recognition model is more accurate than the HMM text recognition model in terms of recall and accuracy of entity recognition in five categories of Chinese modern and contemporary literature: poetry, prose, drama, novel, and picture. Through this study, people gain a deeper understanding of modern and contemporary literature, gain some insight, and establish a foundation for promoting modern and contemporary literature.</p>
</abstract>

This paper first investigates the expressive features and developmental commonalities of Chinese modern and contemporary literary works, explains the paradoxical nature, and there are dilemmas in the expressive features by reviewing the data, and proposes the nationalized literary model and the cosmopolitan literary model, aiming to promote the development of Chinese modern and contemporary literature. Then, based on text mining techniques, atomic cuts are performed in the lowest fifth layer using Hidden Markov Models, and rough Chinese word splitting is performed using the n-shortest path method to find out the most likely n ambiguous word splitting results and text clustering analysis based on HMM-LDA topic models is performed on top of the splitting results. The results show that the HMM-LDA text recognition model is more accurate than the HMM text recognition model in terms of recall and accuracy of entity recognition in five categories of Chinese modern and contemporary literature: poetry, prose, drama, novel, and picture. Through this study, people gain a deeper understanding of modern and contemporary literature, gain some insight, and establish a foundation for promoting modern and contemporary literature.

Comparing the Performance Characteristics and Commonalities of Chinese Modern and Contemporary Literature in Different Cultural Contexts by Combining Text Mining Techniques

Applied Mathematics and Nonlinear Sciences

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

This paper first investigates the expressive features and developmental commonalities of Chinese modern and contemporary literary works, explains the...

Comparing the Performance Characteristics and Commonalities of Chinese Modern and Contemporary Literature in Different Cultural Contexts by Combining Text Mining Techniques

Data publikacji: 21 paź 2023

Zakres stron: -

Otrzymano: 02 lis 2022

Przyjęty: 01 maj 2023

DOI: https://doi.org/10.2478/amns.2023.2.00701

Słowa kluczowe
HMM-LDA, Hidden Markov Model, Text mining techniques, and Contemporary Chinese literature are all related to HMM-LDA

© 2023 Xianghui Zhang, published by Sciendo

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

Comparing the Performance Characteristics and Commonalities of Chinese Modern and Contemporary Literature in Different Cultural Contexts by Combining Text Mining Techniques

Data publikacji: 21 paź 2023

Zakres stron: -

Otrzymano: 02 lis 2022

Przyjęty: 01 maj 2023

DOI: https://doi.org/10.2478/amns.2023.2.00701

Słowa kluczoweHMM-LDA, Hidden Markov Model, Text mining techniques, and Contemporary Chinese literature are all related to HMM-LDA

© 2023 Xianghui Zhang, published by Sciendo

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

Słowa kluczowe
HMM-LDA, Hidden Markov Model, Text mining techniques, and Contemporary Chinese literature are all related to HMM-LDA