Char Juin Chin
NucScholar is a framework in development that utilizes Natural Language Processing (NLP) to automatically retrieve, categorize, and recommend nuclear science papers. It aims to fully automate the workflow for nuclear science literature searches to improve efficiency in the nuclear data pipeline. In this effort, accurate and comprehensive categorization and labeling of nuclear research papers is crucial for recommendations to be specific and relevant. As such, my work involves implementing NLP techniques such as topic modeling and classification to efficiently label nuclear research papers.