Fuzzy based Sentiment Analysis of any Sentence using Indian Scriptures: Case Study of Shrimad Bhagavad Gita

Abstract

The current research work aims to study and measure the emotional tone and sentiment expressed in the verses of the Bhagavad Gita through a structured, dataset-based analytical method. The main objective of this work is to identify how positive and negative sentiments are distributed across different words and sentences, and to determine the overall emotional balance of any sentence. A dataset was created by collecting unique words from the original text and assigning each word a positive and negative score based on their contextual meaning and frequency of use. Repeated words were analyzed to calculate their average sentiment strength, which was then expressed as percentage form. The proposed model takes a sentence as input, extracts individual words, and checks each word against the dataset. Words found in the dataset contribute to the overall sentiment calculation, while those not found are ignored.

Additionally, the dataset includes a separate list of strictly negative words; if any such word appears in the sentence, the sentence is immediately classified as negative. The remaining sentences are evaluated by averaging the positive and negative scores of all included words to produce a final sentiment percentage. This approach provides a simplified yet effective way to interpret the emotional and philosophical tone of the Shrimad Bhagavad Gita through quantitative fuzzy analysis. The major research objectives that we have fulfilled in this research work is to create a dataset that doesn’t exist and unique that identify the sentimental tones of the words present in the verses and predict a sentences sentimental tone with respect to the dataset we have created. By combining logical computation with linguistic understanding, our research work demonstrates spiritual value of any sentence. We analyzed to reveal patterns of positivity and negativity, offering a deeper insight into the moral and emotional essence of ancient Indian wisdom with the case study of Shrimad Bhagavad Gita in the sentences of the user.

Keywords— Sentiment Analysis, Fuzzy logic, Indian Scriptures, Shrimad Bhagavad Gita, Emotional Tone, Indian Knowledge System, Predictive Data Analytics, Aligning society with Ancient Culture and Wisdom