Exploring Emoji Usage and Prediction Through a Temporal Variation Lens
May 02, 2018 ยท Declared Dead ยท ๐ arXiv.org
"No code URL or promise found in abstract"
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Authors
Francesco Barbieri, Luis Marujo, Pradeep Karuturi, William Brendel, Horacio Saggion
arXiv ID
1805.00731
Category
cs.CL: Computation & Language
Citations
23
Venue
arXiv.org
Last Checked
4 months ago
Abstract
The frequent use of Emojis on social media platforms has created a new form of multimodal social interaction. Developing methods for the study and representation of emoji semantics helps to improve future multimodal communication systems. In this paper, we explore the usage and semantics of emojis over time. We compare emoji embeddings trained on a corpus of different seasons and show that some emojis are used differently depending on the time of the year. Moreover, we propose a method to take into account the time information for emoji prediction systems, outperforming state-of-the-art systems. We show that, using the time information, the accuracy of some emojis can be significantly improved.
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