Date: 03/25/2020
Time: 2:00 pm - 3:00 pm
Location
Center For Digital Humanities
Description
**Please note: In response to concerns over the 2019 Novel Coronavirus (2019-nCoV), this event will not take place as planned. Stony Brook University continues to closely monitor the guidance provided by the CDC and New York State Department of Health (NYSDOH). We hope to reschedule at a later date.**
The field of natural language processing (NLP) begins, in many ways, where keyword-based searches end. Outside computer science and linguistics research, however, NLP is commonly perceived as being limited to the use of keywords or phrases to identify information in large volumes of text. In this talk, Dr. Banerjee will illustrate with examples drawn from his own research how NLP is much more, and can help with identifying and solving problems in other scientific disciplines, business applications, and society in general.
Dr. Ritwik Banerjee is a Research Assistant Professor at the Department of Computer Science, Stony Brook University, and affiliated with the Institute for AI-Driven Discovery and Innovation. In the past, he has held a joint appointment with the Department of Computer Science and the Department of Emergency Medicine, Stony Brook School of Medicine. He has been a visiting scholar to the Indian Institute of Technology, Kharagpur (India), and has worked with multiple startups prior to being awarded his Ph.D. in computer science from Stony Brook University in December 2015. He also holds a M.Sc. in Computer Science and a B.Sc. in Mathematics and Computer Science, both from Chennai Mathematical Institute, India. His research philosophy is to use natural language processing (NLP) for the benefit of society. In particular, he focuses on NLP for the benefit of healthcare and medicine, and studying the veracity of information in language-based communication. The work done by Dr. Banerjee has produced novel applications of NLP in healthcare, including personalized prediction of adverse drug reactions, personalized recommendations for laboratory tests to help diagnosis in emergency medicine, and developing a machine learning framework to identify novel use of drugs for treatment. He has also used NLP to identify deceptive language, and his current research, with generous support from the National Science Foundation, extends this line of work to identify and track misinformation in medical news.
Kate Kasten-Mutkus
email: kathleen.kasten@stonybrook.edu
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- Fernando Amador Presents, “The Mexican Restaurants of NYC” - November 19, 2020
- Jon Heggestad Discusses Data Visualizations at the Center for Digital Humanities - October 20, 2020
- Graduate Interns Join the Center for Digital Humanities - March 2, 2020
