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Annotating Expressions of Opinions and Emotions in 2025

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The document presents a detailed annotation scheme for identifying and analyzing expressions of opinions, emotions, and sentiments in language. It describes a corpus annotation project that focuses on the manual annotation of private states in text, including opinions and emotions, using a fine-grained approach at the word and phrase level. The paper discusses the motivation behind this work, the methodology used for annotation, examples of its application, and results from an inter-annotator agreement study conducted on a 10,000-sentence corpus from world press articles. The authors argue that such annotated corpora are essential for developing natural language processing systems that can effectively track and analyze subjective language.

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