Civil unrest event-relevant Twitter classifier training data
Published: 19 September 2018| Version 1 | DOI: 10.17632/mxcsxp3jxn.1
Contributor:
lewis mitchellDescription
This dataset contains tweet ids and label to train the protest-relevance classifier used in Tuke et al, "Pachinko Prediction: A Bayesian method for event prediction from social media data", 2018. The data contains two columns: tweet id and a label classifying the tweet associated with that id as protest-relevant or not. Tweets need to be hydrated from the list of ids before use. See the paper for details on training the classifier.
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Institutions
The University of Adelaide
Categories
Machine Learning, Protest Movement, Twitter, Classifier