The ParlaSent Multilingual Training Dataset for Sentiment Identification in Parliamentary Proceedings

arXiv:2309.09783v2 Announce Type: replace
Abstract: 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 paper additionally introduces the first domain-specific multilingual transformer language model for political science applications, which was additionally pre-trained on 1.72 billion words from parliamentary proceedings of 27 European parliaments. We present experiments demonstrating how the additional pre-training on parliamentary data …

abstract arxiv cs.cl dataset domain identification language languages multilingual paper robust sentiment series training transformer type