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    <titleInfo>
        <title>Facebook sentiment: Reactions and Emojis</title>
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    <name type="personal">
        <namePart type="given">Ye</namePart>
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    <name type="personal">
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    <name type="personal">
        <namePart type="given">Emilia</namePart>
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    <name type="personal">
        <namePart type="given">Chao</namePart>
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            <title>Proceedings of the Fifth International Workshop on Natural Language Processing for Social Media</title>
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            <namePart type="given">Lun-Wei</namePart>
            <namePart type="family">Ku</namePart>
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            <namePart type="given">Cheng-Te</namePart>
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    <abstract>Emojis are used frequently in social media. A widely assumed view is that emojis express the emotional state of the user, which has led to research focusing on the expressiveness of emojis independent from the linguistic context. We argue that emojis and the linguistic texts can modify the meaning of each other. The overall communicated meaning is not a simple sum of the two channels. In order to study the meaning interplay, we need data indicating the overall sentiment of the entire message as well as the sentiment of the emojis stand-alone. We propose that Facebook Reactions are a good data source for such a purpose. FB reactions (e.g. “Love” and “Angry”) indicate the readers’ overall sentiment, against which we can investigate the types of emojis used the comments under different reaction profiles. We present a data set of 21,000 FB posts (57 million reactions and 8 million comments) from public media pages across four countries.</abstract>
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    <identifier type="doi">10.18653/v1/W17-1102</identifier>
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        <date>2017-04</date>
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%0 Conference Proceedings
%T Facebook sentiment: Reactions and Emojis
%A Tian, Ye
%A Galery, Thiago
%A Dulcinati, Giulio
%A Molimpakis, Emilia
%A Sun, Chao
%Y Ku, Lun-Wei
%Y Li, Cheng-Te
%S Proceedings of the Fifth International Workshop on Natural Language Processing for Social Media
%D 2017
%8 April
%I Association for Computational Linguistics
%C Valencia, Spain
%F tian-etal-2017-facebook
%X Emojis are used frequently in social media. A widely assumed view is that emojis express the emotional state of the user, which has led to research focusing on the expressiveness of emojis independent from the linguistic context. We argue that emojis and the linguistic texts can modify the meaning of each other. The overall communicated meaning is not a simple sum of the two channels. In order to study the meaning interplay, we need data indicating the overall sentiment of the entire message as well as the sentiment of the emojis stand-alone. We propose that Facebook Reactions are a good data source for such a purpose. FB reactions (e.g. “Love” and “Angry”) indicate the readers’ overall sentiment, against which we can investigate the types of emojis used the comments under different reaction profiles. We present a data set of 21,000 FB posts (57 million reactions and 8 million comments) from public media pages across four countries.
%R 10.18653/v1/W17-1102
%U https://aclanthology.org/W17-1102
%U https://doi.org/10.18653/v1/W17-1102
%P 11-16

Markdown (Informal)

[Facebook sentiment: Reactions and Emojis](https://aclanthology.org/W17-1102) (Tian et al., SocialNLP 2017)

• Facebook sentiment: Reactions and Emojis (Tian et al., SocialNLP 2017)

ACL

• Ye Tian, Thiago Galery, Giulio Dulcinati, Emilia Molimpakis, and Chao Sun. 2017. Facebook sentiment: Reactions and Emojis. In Proceedings of the Fifth International Workshop on Natural Language Processing for Social Media, pages 11–16, Valencia, Spain. Association for Computational Linguistics.