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EmojiCloud: a Tool for Emoji Cloud Visualization

EmojiCloud: a Tool for Emoji Cloud Visualization

@inproceedings{feng-etal-2022-emojicloud, title = "{E}moji{C}loud: a Tool for Emoji Cloud Visualization", author = "Feng, Yunhe and

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@inproceedings{feng-etal-2022-emojicloud,
    title = "{E}moji{C}loud: a Tool for Emoji Cloud Visualization",
    author = "Feng, Yunhe  and
      Guo, Cheng  and
      Wen, Bingbing  and
      Sun, Peng  and
      Yue, Yufei  and
      Tao, Dingwen",
    editor = "Wijeratne, Sanjaya  and
      Lee, Jennifer  and
      Saggion, Horacio  and
      Sheth, Amit",
    booktitle = "Proceedings of the Fifth International Workshop on Emoji Understanding and Applications in Social Media",
    month = jul,
    year = "2022",
    address = "Seattle, Washington, USA",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2022.emoji-1.8/",
    doi = "10.18653/v1/2022.emoji-1.8",
    pages = "69--74",
    abstract = "This paper proposes EmojiCloud, an open-source Python-based emoji cloud visualization tool, to generate a quick and straightforward understanding of emojis from the perspective of frequency and importance. EmojiCloud is flexible enough to support diverse drawing shapes, such as rectangles, ellipses, and image masked canvases. We also follow inclusive and personalized design principles to cover the unique emoji designs from seven emoji vendors (e.g., Twitter, Apple, and Windows) and allow users to customize plotted emojis and background colors. We hope EmojiCloud can benefit the whole emoji community due to its flexibility, inclusiveness, and customizability."
}
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            <namePart type="family">Lee</namePart>
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        <name type="personal">
            <namePart type="given">Amit</namePart>
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    <abstract>This paper proposes EmojiCloud, an open-source Python-based emoji cloud visualization tool, to generate a quick and straightforward understanding of emojis from the perspective of frequency and importance. EmojiCloud is flexible enough to support diverse drawing shapes, such as rectangles, ellipses, and image masked canvases. We also follow inclusive and personalized design principles to cover the unique emoji designs from seven emoji vendors (e.g., Twitter, Apple, and Windows) and allow users to customize plotted emojis and background colors. We hope EmojiCloud can benefit the whole emoji community due to its flexibility, inclusiveness, and customizability.</abstract>
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%0 Conference Proceedings
%T EmojiCloud: a Tool for Emoji Cloud Visualization
%A Feng, Yunhe
%A Guo, Cheng
%A Wen, Bingbing
%A Sun, Peng
%A Yue, Yufei
%A Tao, Dingwen
%Y Wijeratne, Sanjaya
%Y Lee, Jennifer
%Y Saggion, Horacio
%Y Sheth, Amit
%S Proceedings of the Fifth International Workshop on Emoji Understanding and Applications in Social Media
%D 2022
%8 July
%I Association for Computational Linguistics
%C Seattle, Washington, USA
%F feng-etal-2022-emojicloud
%X This paper proposes EmojiCloud, an open-source Python-based emoji cloud visualization tool, to generate a quick and straightforward understanding of emojis from the perspective of frequency and importance. EmojiCloud is flexible enough to support diverse drawing shapes, such as rectangles, ellipses, and image masked canvases. We also follow inclusive and personalized design principles to cover the unique emoji designs from seven emoji vendors (e.g., Twitter, Apple, and Windows) and allow users to customize plotted emojis and background colors. We hope EmojiCloud can benefit the whole emoji community due to its flexibility, inclusiveness, and customizability.
%R 10.18653/v1/2022.emoji-1.8
%U https://aclanthology.org/2022.emoji-1.8/
%U https://doi.org/10.18653/v1/2022.emoji-1.8
%P 69-74

Markdown (Informal)

[EmojiCloud: a Tool for Emoji Cloud Visualization](https://aclanthology.org/2022.emoji-1.8/) (Feng et al., Emoji 2022)

ACL
  • Yunhe Feng, Cheng Guo, Bingbing Wen, Peng Sun, Yufei Yue, and Dingwen Tao. 2022. EmojiCloud: a Tool for Emoji Cloud Visualization. In Proceedings of the Fifth International Workshop on Emoji Understanding and Applications in Social Media, pages 69–74, Seattle, Washington, USA. Association for Computational Linguistics.