SEN (Sentiment analysis of Entities in News headlines)
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.
Papers
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