Popularity Prediction of Online Petitions using a Multimodal DeepRegression Model
Kotaro Kitayama | Shivashankar Subramanian | Timothy Baldwin
Proceedings of the The 18th Annual Workshop of the Australasian Language Technology Association
Online petitions offer a mechanism for peopleto initiate a request for change and gather sup-port from others to demonstrate support for thecause. In this work, we model the task of peti-tion popularity using both text and image rep-resentations across four different languages,and including petition metadata. We evaluateour proposed approach using a dataset of 75kpetitions from Avaaz.org, and find strong com-plementarity between text and images.