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          <name>Title</name>
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              <text>A Textual Analysis of Panchatantra, Enhanced by Technology from the Psychological Perspective</text>
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              <text>animal portrayal; anthropomorphism; NLP techniques; stereotype; textual analysis</text>
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              <text>This research paper offers a textual analysis of the portrayal of animals in the Panchatantra tales, leveraging technology, Natural Language Processing (NLP) for enhanced insights. The study focuses on the interplay of anthropomorphism and stereotypes within these narratives, delving into the diverse stereotypes associated with specific animals in the stories. This analysis enhances our understanding of animal portrayal in children's literature. Natural Language Processing (NLP) techniques like textual classification and thematic analysis have been employed to examine the underlying archetypes embedded within the tales to comprehend stereotypes. Through a close examination of literary examples employing AntConc, a corpus analysis software, this paper provides readers with a nuanced understanding of how anthropomorphism and stereotypes influence human perceptions of animals and contribute to our understanding of the natural world.   2024 IEEE.</text>
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              <text>Samuel C.E.; Srishti R.</text>
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              <text>TQCEBT 2024 - 2nd IEEE International Conference on Trends in Quantum Computing and Emerging Business Technologies 2024</text>
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              <text>Institute of Electrical and Electronics Engineers Inc.</text>
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              <text>2024-01-01</text>
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              <text>&lt;a href="https://doi.org/10.1109/TQCEBT59414.2024.10545143" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1109/TQCEBT59414.2024.10545143&lt;/a&gt;
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              <text>ISBN: 979-835038427-7</text>
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              <text>Samuel C.E., Department of English, Christ University, Bengaluru, India; Srishti R., Department of Languages, Christ University, Bengaluru, India</text>
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