AI-based Analysis of Themes and Sentiments in Literary Texts

Author(s)	Thejovathi Murari, Charvitha Reddy Abbu, Alagala Bhavani, Chinnabbu Srinidhi, Tanishqa Bose Mazumdar
Country	India
Abstract	This project proposes AI and NLP based system to automatically analyze and interpret the literary texts with objective, data driven evaluation of recurrent themes and changing sentiments in a narrative and then identifying the trends of emotions in literature. Traditional analysis of literary text depends upon the personal opinion of human readers, which is biased. Through the processing of text, it detects the hidden emotional arc and theme which cannot be perceived by only reading. This project links computing technology with creative arts and allow the user to quickly get some analysis of any long piece of text through our tool for research and study purposes.
Field	Engineering
Published In	Volume 17, Issue 4, April 2026
Published On	2026-04-12
Cite This	AI-based Analysis of Themes and Sentiments in Literary Texts - Thejovathi Murari, Charvitha Reddy Abbu, Alagala Bhavani, Chinnabbu Srinidhi, Tanishqa Bose Mazumdar - IJTAS Volume 17, Issue 4, April 2026. DOI 10.71097/IJTAS.v17.i4.1261
DOI	https://doi.org/10.71097/IJTAS.v17.i4.1261
Short DOI	https://doi.org/hbw89j

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