Deep Learning and BERT-Based Models for Poetry Analysis: A Study on Chronological and Subject-Wise Categorization of Tagore’s Poetic Works

In the modern era, where artificial intelligence (AI) intersects with computational literary studies, the analysis of poetry presents both challenges and opportunities. Rabindranath Tagore’s poetry holds immense literary and historical significance, yet understanding its contextual motivations and s...

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Veröffentlicht in:	SN computer science Jg. 6; H. 7; S. 904
Hauptverfasser:	Ruma, Jannatul Ferdous, Sultana, Jannat, Akter, Sharmin, Laboni, Jesrin Jahan, Rahman, Rashedur M.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Singapore Springer Nature Singapore 15.10.2025 Springer Nature B.V
Schlagworte:	Accuracy Arabic language Arabic literature Classification Computer Imaging Computer Science Computer Systems Organization and Communication Networks Data Structures and Information Theory Datasets Deep learning Embedding Explainable artificial intelligence Information Systems and Communication Service Large language models Machine learning Natural language processing Original Research Pattern Recognition and Graphics Poetry Poets Semantic analysis Semantics Software Engineering/Programming and Operating Systems Support vector machines Tagore, Rabindranath (1861-1941) Vision Bengali poetry categorization Deep learning Transformer model Explainable AI Rabindranath tagore Subject-based classification Chronological classification
ISSN:	2661-8907, 2662-995X, 2661-8907
Online-Zugang:	Volltext
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