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        <title>A Comprehensive Study of Mahabharat using Semantic and Sentiment Analysis</title>
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    <abstract>Indian epics have not been analyzed computationally to the extent that Greek epics have. In this paper, we show how interesting insights can be derived from the ancient epic Mahabharata by applying a variety of analytical techniques based on a combination of natural language processing methods like semantic analysis, sentiment analysis and Named Entity Recognition (NER). The key findings include the analysis of events and their importance in shaping the story, character’s life and their actions leading to consequences and change of emotions across the eighteen parvas of the story.</abstract>
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%0 Conference Proceedings
%T A Comprehensive Study of Mahabharat using Semantic and Sentiment Analysis
%A J S, Srijeyarankesh
%A Kumaran, Aishwarya
%A Lakshminarasimhan, Nithyasri
%A M, Shanmuga Priya
%Y Akhtar, Md. Shad
%Y Chakraborty, Tanmoy
%S Proceedings of the 19th International Conference on Natural Language Processing (ICON)
%D 2022
%8 December
%I Association for Computational Linguistics
%C New Delhi, India
%F s-etal-2022-comprehensive
%X Indian epics have not been analyzed computationally to the extent that Greek epics have. In this paper, we show how interesting insights can be derived from the ancient epic Mahabharata by applying a variety of analytical techniques based on a combination of natural language processing methods like semantic analysis, sentiment analysis and Named Entity Recognition (NER). The key findings include the analysis of events and their importance in shaping the story, character’s life and their actions leading to consequences and change of emotions across the eighteen parvas of the story.
%U https://aclanthology.org/2022.icon-main.37
%P 308-317

Markdown (Informal)

[A Comprehensive Study of Mahabharat using Semantic and Sentiment Analysis](https://aclanthology.org/2022.icon-main.37) (J S et al., ICON 2022)

• A Comprehensive Study of Mahabharat using Semantic and Sentiment Analysis (J S et al., ICON 2022)

ACL

• Srijeyarankesh J S, Aishwarya Kumaran, Nithyasri Lakshminarasimhan, and Shanmuga Priya M. 2022. A Comprehensive Study of Mahabharat using Semantic and Sentiment Analysis. In Proceedings of the 19th International Conference on Natural Language Processing (ICON), pages 308–317, New Delhi, India. Association for Computational Linguistics.