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Computers taught to sort opinion from fact
WASHINGTON,
Sept. 25 (UPI) -- The U.S. Department of Homeland Security is funding a
research project designed to teach computers to scan text and then sort
opinion from fact.
The
project involves Cornell University Professor of Computer Science
Claire Cardie and associate professors of computer science Janyce Wiebe
of the University of Pittsburgh and Ellen Riloff of the University of
Utah.
The consortium is one of four University Affiliate Centers
to conduct research on advanced methods for information analysis and to
develop computational technologies that contribute to national security.
"Lots
of work has been done on extracting factual information -- the who,
what, where, when," explained Cardie. "We're interested in seeing how
we would extract information about opinions."
The scientists
will use machine-learning algorithms to give computers examples of text
expressing both fact and opinion and then teach them to tell the
difference.
Copyright 2006 by United Press International |
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