[Submitted on 2 May 2020]
Abstract: Given the growing ubiquity of emojis in language, there is a need for methods
and resources that shed light on their meaning and communicative role. One
conspicuous aspect of emojis is their use to convey affect in ways that may
otherwise be non-trivial to achieve. In this paper, we seek to explore the
connection between emojis and emotions by means of a new dataset consisting of
human-solicited association ratings. We additionally conduct experiments to
assess to what extent such associations can be inferred from existing data,
such that similar associations can be predicted for a larger set of emojis. Our
experiments show that this succeeds when high-quality word-level information is
available.
Submission history
From: Gerard de Melo [view email]
[v1]
Sat, 2 May 2020 04:04:42 UTC (507 KB)
