Kathy McKeown

 

 


 

A leading scholar and researcher in the field of natural language processing, McKeown focuses her research on big data; her interests include text summarization, question answering, natural language generation, multimedia explanation, digital libraries, and multilingual applications. Her research group's Columbia Newsblaster, which has been live since 2001, is an online system that automatically tracks the day's news, and demonstrates the group's new technologies for multi-document summarization, clustering, and text categorization, among others. Currently, she leads a large research project involving prediction of technology emergence from a large collection of journal articles.

McKeown joined Columbia in 1982, immediately after earning her Ph.D. from University of Pennsylvania. In 1989, she became the first woman professor in the school to receive tenure, and later the first woman to serve as a department chair (1998-2003).

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May 15th 2016

Discover the relationship between Big Data and the Internet of Things (IoT). The Internet of Things is rapidly growing. It is predicted that more than 25 billion devices will be connected by 2020. In this data science course, you will learn about the major components of the Internet of Things and how data is acquired from sensors. You will also examine ways of analyzing event data, sentiment analysis, facial recognition software and how data generated from devices can be used to make decisions.

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