@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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<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.