A Comparison Between Traditional Methods and Artificial Intelligence Techniques in Analyzing Persian Literature
DOI:
https://doi.org/10.31185/lark.5128Keywords:
Keywords: Persian literature, traditional criticism, artificial intelligence, poetry analysis, digital humanities, stylistic analysis, thematic analysisAbstract
Abstract
This study aims to conduct a systematic comparison between traditional approaches and modern artificial intelligence (AI)-based technologies in the analysis of Persian literature. The research primarily focuses on poetic texts as the main framework for analysis. These works are examined from historical, aesthetic, and hermeneutical perspectives, with particular emphasis on their role in highlighting the cultural and symbolic dimensions of literary texts.
Conversely, the study discusses the changes resulting from the introduction of AI techniques in literary analysis, such as thematic, stylistic, and network analyses, highlighting the advantages of these tools in handling large volumes of data and providing precise quantitative insights.
The research adopts a descriptive-analytical methodology and presents case studies that illustrate the points of convergence and integration between the two approaches. The findings indicate that integrating human analysis with intelligent techniques opens new horizons for a comprehensive and innovative understanding of Persian literature, emphasizing the importance of developing hybrid models that combine the depth of traditional interpretation with the analytical power of AI.
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