EmojiCloud: a Tool for Emoji Cloud Visualization

Yunhe Feng, Cheng Guo, Bingbing Wen, Peng Sun, Yufei Yue, Dingwen Tao


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.
Anthology ID:
2022.emoji-1.8
Volume:
Proceedings of the Fifth International Workshop on Emoji Understanding and Applications in Social Media
Month:
July
Year:
2022
Address:
Seattle, Washington, USA
Venue:
Emoji
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
69–74
Language:
URL:
https://aclanthology.org/2022.emoji-1.8
DOI:
10.18653/v1/2022.emoji-1.8
Bibkey:
Cite (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.
Cite (Informal):
EmojiCloud: a Tool for Emoji Cloud Visualization (Feng et al., Emoji 2022)
Copy Citation:
PDF:
https://aclanthology.org/2022.emoji-1.8.pdf
Video:
 https://aclanthology.org/2022.emoji-1.8.mp4