Proceedings:
Vol. 16 (2022): Proceedings of the Sixteenth International AAAI Conference on Web and Social Media
Volume
Issue:
Vol. 16 (2022): Proceedings of the Sixteenth International AAAI Conference on Web and Social Media
Track:
Full Papers
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Abstract:
Prevalent on modern social media, both hashtags and emojis are text elements that function beyond plain text. While hashtags utilize free-formed strings and are highlighted by the platform, emojis are bonded by Unicode Standard and rendered by the platforms. Yet both are used to mark discussion topics, express sentiment, show identity, and highlight keywords. This paper analyzes and highlights the strong association between hashtags and emojis, not only in their usage frequency, but also in their semantics. We show that the association is strong enough for improving downstream tasks. To this end, we design a representation learning model that can learn emoji-based representations to improve hashtag prediction.
DOI:
10.1609/icwsm.v16i1.19367
ICWSM
Vol. 16 (2022): Proceedings of the Sixteenth International AAAI Conference on Web and Social Media