Abstract This paper seeks to investigate the use of Natural Language Processing techniques in analyzing the Bhagavad Gita, a fundamental text in Hindu philosophy that has stood the test of time and centuries of interpretation and analysis. Through the use of techniques such as topic modeling and sentiment analysis, the paper reveals the major themes in the text: devotion, duty, knowledge, and renunciation, as well as the emotions expressed in the conversation between Arjuna and Krishna. The originality of this paper lies in the use of a multi-lingual system of natural language processing, whereby the original Sanskrit text and English and Tamil translations of the text are analyzed to facilitate cross-linguistic interpretation of the text while retaining the semantic and emotive nuances. The pre-processing techniques such as tokenization, stemming, lemmatization, and POS tagging are used to prepare the text for thorough analysis and ensure thorough and accurate findings. Visualization of the frequency of words using techniques such as word clouds also aids in understanding the concepts in the text. The research also underscores the universal relevance of the Gita, making it a relevant text for comparative religious studies. This research has implications for a number of disciplines, including digital humanities, comparative religious studies, interfaith dialogue, and artificial intelligence-based research. The research underscores the potential of NLP to uncover the intricacies of meaning embedded in holy scriptures, providing new insights into their philosophical and emotional content.
Jayanthi et al. (Sat,) studied this question.