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    <titleInfo>
        <title>Popularity Prediction of Online Petitions using a Multimodal DeepRegression Model</title>
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        <namePart type="given">Kotaro</namePart>
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        <namePart type="given">Shivashankar</namePart>
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    <name type="personal">
        <namePart type="given">Timothy</namePart>
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            <title>Proceedings of the 18th Annual Workshop of the Australasian Language Technology Association</title>
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            <namePart type="given">Maria</namePart>
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            <namePart type="given">Daniel</namePart>
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    <abstract>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.</abstract>
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%0 Conference Proceedings
%T Popularity Prediction of Online Petitions using a Multimodal DeepRegression Model
%A Kitayama, Kotaro
%A Subramanian, Shivashankar
%A Baldwin, Timothy
%Y Kim, Maria
%Y Beck, Daniel
%Y Mistica, Meladel
%S Proceedings of the 18th Annual Workshop of the Australasian Language Technology Association
%D 2020
%8 December
%I Australasian Language Technology Association
%C Virtual Workshop
%F kitayama-etal-2020-popularity
%X 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.
%U https://aclanthology.org/2020.alta-1.14
%P 110-114

Markdown (Informal)

[Popularity Prediction of Online Petitions using a Multimodal DeepRegression Model](https://aclanthology.org/2020.alta-1.14) (Kitayama et al., ALTA 2020)

• Popularity Prediction of Online Petitions using a Multimodal DeepRegression Model (Kitayama et al., ALTA 2020)

ACL

• Kotaro Kitayama, Shivashankar Subramanian, and Timothy Baldwin. 2020. Popularity Prediction of Online Petitions using a Multimodal DeepRegression Model. In Proceedings of the 18th Annual Workshop of the Australasian Language Technology Association, pages 110–114, Virtual Workshop. Australasian Language Technology Association.