posted on 2002-11-01, 00:00authored byWei-Hao Lin, Theresa Wilson, Janyce Wiebe, Alexander Hauptmann
In this paper we investigate a new problem
of identifying the perspective from which
a document is written. By perspective we
mean a point of view, for example, from
the perspective of Democrats or Republicans.
Can computers learn to identify
the perspective of a document? Not every
sentence is written strongly from a perspective.
Can computers learn to identify
which sentences strongly convey a particular
perspective? We develop statistical
models to capture how perspectives are
expressed at the document and sentence
levels, and evaluate the proposed models
on articles about the Israeli-Palestinian
conflict. The results show that the proposed
models successfully learn how perspectives
are reflected in word usage and
can identify the perspective of a document
with high accuracy