Civil unrest event-relevant Twitter classifier training data

Published: 19 September 2018| Version 1 | DOI: 10.17632/mxcsxp3jxn.1
Contributor:
lewis mitchell

Description

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.

Files

Institutions

  • The University of Adelaide

Categories

Machine Learning, Protest Movement, Twitter, Classifier

Licence