Work

Are Emojis Predictable?

Year: 2017

Type: conference-paper

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.

Source: RECERCAT (Consorci de Serveis Universitaris de Catalunya)

DOI: 10.48550/arxiv.1702.07285

Authors: Barbieri, Francesco, Ballesteros, Miguel, Saggion, Horacio

Institutions: Universitat Pompeu Fabra, IBM (United States), IBM Research - Thomas J. Watson Research Center

Language: English

Topic: Digital Communication and Language

Subfield: Human-Computer Interaction

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W2951883087

FWCI: 2.086

Cites: 20

Cited by: 15

Related to: 20