RuSentNE-2023: Evaluating Entity-Oriented Sentiment Analysis on Russian News Texts
Anton Golubev,
Nicolay Rusnachenko,
Natalia Loukachevitch
Abstract:The paper describes the RuSentNE-2023 evaluation devoted to targeted sentiment analysis in Russian news texts. The task is to predict sentiment towards a named entity in a single sentence. The dataset for RuSentNE-2023 evaluation is based on the Russian news corpus RuSentNE having rich sentiment-related annotation. The corpus is annotated with named entities and sentiments towards these entities, along with related effects and emotional states. The evaluation was organized using the CodaLab competition framewo… Show more
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