NLP-Driven Knowledge Extraction and Thematic Classification of Translated Ancient Indian Medical Texts
The research here utilizes Natural Language Processing methods like Named Entity Recognition (NER), BERTopic modeling, and Knowledge Graph development in Neo4j to extract, categorize, and visualize important concepts based on translated versions to make ancient Indian medical wisdom more accessible and understandable.