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Register a new userContent-based Popularity Prediction of Online Petitions Using a Deep Regression Model
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Added by
Shivashankar Subramanian
Publication date
2018
fields
Informatics Engineering
and research's language is
English
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No Arabic abstract
Online petitions are a cost-effective way for citizens to collectively engage with policy-makers in a democracy. Predicting the popularity of a petition --- commonly measured by its signature count --- based on its textual content has utility for policy-makers as well as those posting the petition. In this work, we model this task using CNN regression with an auxiliary ordinal regression objective. We demonstrate the effectiveness of our proposed approach using UK and US government petition datasets.
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