Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/228582
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dc.titleDeveloping A Multilabel Corpus for the Quality Assessment of Online Political Talk
dc.contributor.authorJaidka, Kokil
dc.date.accessioned2022-07-14T08:25:22Z
dc.date.available2022-07-14T08:25:22Z
dc.date.issued2022-06-24
dc.identifier.citationJaidka, Kokil (2022-06-24). Developing A Multilabel Corpus for the Quality Assessment of Online Political Talk. Language Resources and Evaluation Conference 13 (1) : 5503-5510. ScholarBank@NUS Repository.
dc.identifier.urihttps://scholarbank.nus.edu.sg/handle/10635/228582
dc.description.abstractThis paper motivates and presents the Twitter Deliberative Politics dataset, a corpus of political tweets labeled for its deliberative characteristics. The corpus was randomly sampled from replies to US congressmen and women. It is expected to be useful to a general community of computational linguists, political scientists, and social scientists interested in the study of online political expression, computer-mediated communication, and political deliberation. The data sampling and annotation methods are discussed and classic machine learning approaches are evaluated for their predictive performance on the different deliberative facets. The paper concludes with a discussion of future work aimed at developing dictionaries for the quality assessment of online political talk in English. The dataset and a demo dashboard are available at https://github.com/kj2013/twitter-deliberative-politics.
dc.publisherEuropean Language Resources Association (ELRA)
dc.sourceElements
dc.typeConference Paper
dc.date.updated2022-07-08T07:21:37Z
dc.contributor.departmentDEPT OF COMMUNICATIONS AND NEW MEDIA
dc.description.sourcetitleLanguage Resources and Evaluation Conference
dc.description.volume13
dc.description.issue1
dc.description.page5503-5510
dc.description.placeMarseilles, France
dc.published.statePublished
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