Coupling niche browsers and affect analysis for an opinion mining application

Gregory Grefenstette, Yan Qu, James G. Shanahan, David Andreoff Evans · 2004

Newspapers generally attempt to present the news objectively. But textual affect analysis shows that many words carry positive or negative emotional charge. In this article, we show that coupling niche browsing technology and affect analysis technology allows us to create a new application that measures the slant in opinion given to public figures in the popular press.

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