SEN

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SEN is a novel publicly available human-labelled dataset for training and testing machine learning algorithms for the problem of entity level sentiment analysis of political news headlines. Dataset consists of 3819 human-labelled political news headlines coming from several major on-line media outlets in English and Polish.