Applications of Natural Language Processing (NLP) in Finance using R & Python

Natural Language Processing is a contemporary topic in a variety of different fields. We will go over some applications of NLP in Finance using R and Python. In this talk, we will provide a framework for assessing different machine learning applications generally and specifically on sentiment analysis. We will then go over a couple of case studies of NLP apps for financial applications; their design, architecture, and how R and Python were leveraged in building them. We will conclude with future extensions, further research, and open it up for Q&A.

The Speaker: ---
Moody is a Group Manager of New Product Development at S&P Global within Market Intelligence, he leads a team focusing on applying modelling techniques, such as machine learning and data sciences to distill information value for risk management based signals. Previously, he was Co-Head of Research and Development at Credit Market Analysis (CMA), where he lead the model development and research on Credit Default Swaps pricing and risk management. Prior to CMA, Moody was a Senior Quantitative Analyst at the Chicago Mercantile Exchange (CME) Group, where we worked on Over-The-Counter (OTC) Clearing of Interest Rate and Credit Derivatives and the SPAN Margining Algorithm. Prior to that he had several senior roles in analytical & technical consulting, spanning diverse areas from Asset-Liability Management (ALM) to Business Intelligence (BI).

Moody holds a Bachelors of Science in Computer Science from Georgia Institute of Technology, Masters of Science in Operations Research from Columbia University and MBA from the University of Chicago – Booth School of Business.