V. G. Vinod Vydiswaran

V. G. Vinod Vydiswaran is an Assistant Professor of Learning Health Sciences, Medical School and Assistant Professor of Information, School of Information at the University of Michigan. His research interests are primarily in information trustworthiness, large-scale text mining and analysis, and natural language processing as well as data mining, information extraction, machine learning, building learning health systems, and working on interesting applications of algorithmic models to address real world challenges. His current research focuses on mining and analyzing health information from multiple sources, including scientific literature, community health forums, and social and information networks. He is specifically interested in analyzing online medical textual information to infer credibility of sources and the claims they make.

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Applied Text Mining in Python (Coursera)

This course will introduce the learner to text mining and text manipulation basics. The course begins with an understanding of how text is handled by python, the structure of text both to the machine and to humans, and an overview of the nltk framework for manipulating text. The second [...]
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