<?xml version="1.0" encoding="UTF-8"?>
<modsCollection xmlns="http://www.loc.gov/mods/v3">
<mods ID="wang-etal-2016-sensing">
    <titleInfo>
        <title>Sensing Emotions in Text Messages: An Application and Deployment Study of EmotionPush</title>
    </titleInfo>
    <name type="personal">
        <namePart type="given">Shih-Ming</namePart>
        <namePart type="family">Wang</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Chun-Hui</namePart>
        <namePart type="given">Scott</namePart>
        <namePart type="family">Lee</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Yu-Chun</namePart>
        <namePart type="family">Lo</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Ting-Hao</namePart>
        <namePart type="family">Huang</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Lun-Wei</namePart>
        <namePart type="family">Ku</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <originInfo>
        <dateIssued>2016-12</dateIssued>
    </originInfo>
    <typeOfResource>text</typeOfResource>
    <relatedItem type="host">
        <titleInfo>
            <title>Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: System Demonstrations</title>
        </titleInfo>
        <name type="personal">
            <namePart type="given">Hideo</namePart>
            <namePart type="family">Watanabe</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <originInfo>
            <publisher>The COLING 2016 Organizing Committee</publisher>
            <place>
                <placeTerm type="text">Osaka, Japan</placeTerm>
            </place>
        </originInfo>
        <genre authority="marcgt">conference publication</genre>
    </relatedItem>
    <abstract>Instant messaging and push notifications play important roles in modern digital life. To enable robust sense-making and rich context awareness in computer mediated communications, we introduce EmotionPush, a system that automatically conveys the emotion of received text with a colored push notification on mobile devices. EmotionPush is powered by state-of-the-art emotion classifiers and is deployed for Facebook Messenger clients on Android. The study showed that the system is able to help users prioritize interactions.</abstract>
    <identifier type="citekey">wang-etal-2016-sensing</identifier>
    <location>
        <url>https://aclanthology.org/C16-2030</url>
    </location>
    <part>
        <date>2016-12</date>
        <extent unit="page">
            <start>141</start>
            <end>145</end>
        </extent>
    </part>
</mods>
</modsCollection>

%0 Conference Proceedings
%T Sensing Emotions in Text Messages: An Application and Deployment Study of EmotionPush
%A Wang, Shih-Ming
%A Lee, Chun-Hui Scott
%A Lo, Yu-Chun
%A Huang, Ting-Hao
%A Ku, Lun-Wei
%Y Watanabe, Hideo
%S Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: System Demonstrations
%D 2016
%8 December
%I The COLING 2016 Organizing Committee
%C Osaka, Japan
%F wang-etal-2016-sensing
%X Instant messaging and push notifications play important roles in modern digital life. To enable robust sense-making and rich context awareness in computer mediated communications, we introduce EmotionPush, a system that automatically conveys the emotion of received text with a colored push notification on mobile devices. EmotionPush is powered by state-of-the-art emotion classifiers and is deployed for Facebook Messenger clients on Android. The study showed that the system is able to help users prioritize interactions.
%U https://aclanthology.org/C16-2030
%P 141-145

Markdown (Informal)

[Sensing Emotions in Text Messages: An Application and Deployment Study of EmotionPush](https://aclanthology.org/C16-2030) (Wang et al., COLING 2016)

• Sensing Emotions in Text Messages: An Application and Deployment Study of EmotionPush (Wang et al., COLING 2016)

ACL

• Shih-Ming Wang, Chun-Hui Scott Lee, Yu-Chun Lo, Ting-Hao Huang, and Lun-Wei Ku. 2016. Sensing Emotions in Text Messages: An Application and Deployment Study of EmotionPush. In Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: System Demonstrations, pages 141–145, Osaka, Japan. The COLING 2016 Organizing Committee.