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.
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Weihao Lin
South China Normal University
Theresa Wilson
Johns Hopkins University
Janyce Wiebe
New Mexico State University
University of Pittsburgh
Carnegie Mellon University
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Lin et al. (Sun,) studied this question.
synapsesocial.com/papers/6910c66b45791541c0d976e5 — DOI: https://doi.org/10.3115/1596276.1596297