Applying Topic Modeling to Literary Analysis: A Review

doi:https://doi.org/10.1515/dsll-2024-0010

UM > Faculty of Arts and Humanities > DEPARTMENT OF ENGLISH

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	Applying Topic Modeling to Literary Analysis: A Review
	LI DEFENG; WU KAN; LEI LAI CHENG VICTORIA
	2024-11
Source Publication	Digital Studies in Language and Literature
ISSN	2943-0607
Volume	1 Issue:1-2 Pages:113-141
Abstract	This article examines the integration of topic modeling within literary studies, highlighting its potential to transform conventional literary analysis through computational techniques. It reviews the theoretical underpinnings underlying topic modeling, including prominent algorithms like Latent Dirichlet Allocation, Non-negative Matrix Factorization, and Neural Topic Models, and discuss their utility in dissecting large textual corpora to uncover latent thematic and stylistic patterns. The article subsequently addresses the specific methodological steps for effective implementation, spanning text preprocessing model tuning and result interpretation. We further illustrate the diverse applications of topic modeling in literary studies through thematic analysis, comparative studies, and the extraction of cultural and historical insights. Challenges such as model accuracy, technical limitations, and ethical considerations are critically assessed. The review concludes by envisioning prospective future directions that foresee enhanced integration of topic modeling into literary criticism, facilitated by technological and interdisciplinary advancements.
Keyword	Topic Modeling Literary Studies Computational Literary Analysis Latent Dirichlet Allocation Textual Data Analysis
DOI	https://doi.org/10.1515/dsll-2024-0010
Indexed By	其他Other
Language	英語English
Fulltext Access	View Full-Text via DOI
Citation statistics
Document Type	Journal article
Collection	DEPARTMENT OF ENGLISH
Affiliation	UNIVERSITY OF MACAU
Recommended Citation GB/T 7714	LI DEFENG,WU KAN,LEI LAI CHENG VICTORIA. Applying Topic Modeling to Literary Analysis: A Review[J]. Digital Studies in Language and Literature, 2024, 1(1-2), 113-141.
APA	LI DEFENG., WU KAN., & LEI LAI CHENG VICTORIA (2024). Applying Topic Modeling to Literary Analysis: A Review. Digital Studies in Language and Literature, 1(1-2), 113-141.
MLA	LI DEFENG,et al."Applying Topic Modeling to Literary Analysis: A Review".Digital Studies in Language and Literature 1.1-2(2024):113-141.

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