Meta-Data Analysis of Nirala's Poems through AI

Abstract

This research is an attempt to understand the inherent stylistic and thematic trends embedded in the works of Suryakant Tripathi 'Nirala', a major pillar of modern Hindi poetry, through Artificial Intelligence (AI) based 'meta-data' analysis. The study analyzes the linguistic patterns, vocabulary, metrical structure, imagery-symbolism schemes, emotional aesthetics, and ideational elements of Nirala's poems using the tools of computational linguistics, text mining, and Natural Language Processing (NLP). This methodology has enabled a scientifically grounded evaluation of the indirect structural dimensions of the poet's creativity, stylistic evolution, and interrelationships of the works, moving beyond the traditional limitations of qualitative criticism. The study re-presents the uniqueness of Nirala's poetic vision and his literary legacy from a data-driven perspective.