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Computer Science > Computation and Language

arXiv:1702.07285 (cs)
[Submitted on 23 Feb 2017 (v1), last revised 24 Feb 2017 (this version, v2)]

Title:Are Emojis Predictable?

Authors:Francesco Barbieri, Miguel Ballesteros, Horacio Saggion
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Abstract:Emojis are ideograms which are naturally combined with plain text to visually complement or condense the meaning of a message. Despite being widely used in social media, their underlying semantics have received little attention from a Natural Language Processing standpoint. In this paper, we investigate the relation between words and emojis, studying the novel task of predicting which emojis are evoked by text-based tweet messages. We train several models based on Long Short-Term Memory networks (LSTMs) in this task. Our experimental results show that our neural model outperforms two baselines as well as humans solving the same task, suggesting that computational models are able to better capture the underlying semantics of emojis.
Comments: To appear at EACL 2017
Subjects: Computation and Language (cs.CL)
Cite as: arXiv:1702.07285 [cs.CL]
  (or arXiv:1702.07285v2 [cs.CL] for this version)
  https://doi.org/10.48550/arXiv.1702.07285

Submission history

From: Miguel Ballesteros [view email]
[v1] Thu, 23 Feb 2017 16:47:01 UTC (316 KB)
[v2] Fri, 24 Feb 2017 12:59:19 UTC (316 KB)
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