Publication | Open Access
Which side are you on?
271
Citations
21
References
2006
Year
Unknown Venue
EngineeringWord UsageCorpus LinguisticsText MiningNew ProblemApplied LinguisticsNatural Language ProcessingInformation RetrievalComputational LinguisticsLanguage EngineeringLanguage StudiesContent AnalysisMachine TranslationNlp TaskLinguisticsDistributional SemanticsInformation ExtractionHigh AccuracyText ProcessingWhich Side
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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