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The ParlaSent Multilingual Training Dataset for Sentiment Identification in Parliamentary Proceedings
The paper presents a new training dataset of sentences in 7 languages, manually annotated for sentiment, which are used in a series of experiments focused on training a robust sentiment identifier for parliamentary proceedings.
The ParlaSent-BCS dataset of sentiment-annotated parliamentary debates from Bosnia-Herzegovina, Croatia, and Serbia
A six-level schema is applied to the data with the aim of training a classification model for the detection of sentiment in parliamentary proceedings.
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