ParlVote: Corpora for Sentiment Analysis of Political Debatess

Published: 20 July 2020| Version 3 | DOI: 10.17632/czjfwgs9tm.3
Contributor:
Gavin Abercrombie

Description

Datasets for policy preference identification, binary sentiment classification, and stance detection of debates from the House of Commons of the United Kingdom Parliament. For details, see: ParlVote: G. Abercrombie and R. Batista-Navarro. ParlVote: A Corpus for Sentiment Analysis of Political Debates. Proceedings of the Twelfth International Conference on Language Resources and Evaluation (LREC-2020). European Languages Resources Association (ELRA), 2020. ParlVote+: Paper under review. This version includes policy preference labels for each example. It has also been cleaned up a little, and some incorrect examples from the original dataset have been removed. Data published under the Open Parliament Licence v3.0 : https://www.parliament.uk/site-information/copyright-parliament/open-parliament-licence/

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Institutions

The University of Manchester

Categories

Natural Language Processing, Civic Engagement, Sentiment Analysis

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