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The automatic prediction of the course of action of agents involved in social or economic trends is an imperative challenge nowadays. However, it is a difficult task because stance or opinion is often spread throughout long, complex texts, such as news articles. The current study tests sentence predicates as features to automatically determine the writer's stance in news articles. We capture the semantics and stance of the text by encoding features such as the attribute of copulative sentences,doi:10.25100/lenguaje.v47i2.7937 fatcat:hxvurf7kync5llmtbsynyqqxhy