@inproceedings{shoeb-etal-2019-emotag,
title = "{E}mo{T}ag {--} Towards an Emotion-Based Analysis of Emojis",
author = "Shoeb, Abu Awal Md and
Raji, Shahab and
de Melo, Gerard",
editor = "Mitkov, Ruslan and
Angelova, Galia",
booktitle = "Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2019)",
month = sep,
year = "2019",
address = "Varna, Bulgaria",
publisher = "INCOMA Ltd.",
url = "https://aclanthology.org/R19-1126",
doi = "10.26615/978-954-452-056-4_126",
pages = "1094--1103",
abstract = "Despite being a fairly recent phenomenon, emojis have quickly become ubiquitous. Besides their extensive use in social media, they are now also invoked in customer surveys and feedback forms. Hence, there is a need for techniques to understand their sentiment and emotion. In this work, we provide a method to quantify the emotional association of basic emotions such as anger, fear, joy, and sadness for a set of emojis. We collect and process a unique corpus of 20 million emoji-centric tweets, such that we can capture rich emoji semantics using a comparably small dataset. We evaluate the induced emotion profiles of emojis with regard to their ability to predict word affect intensities as well as sentiment scores.",
}
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%0 Conference Proceedings
%T EmoTag – Towards an Emotion-Based Analysis of Emojis
%A Shoeb, Abu Awal Md
%A Raji, Shahab
%A de Melo, Gerard
%Y Mitkov, Ruslan
%Y Angelova, Galia
%S Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2019)
%D 2019
%8 September
%I INCOMA Ltd.
%C Varna, Bulgaria
%F shoeb-etal-2019-emotag
%X Despite being a fairly recent phenomenon, emojis have quickly become ubiquitous. Besides their extensive use in social media, they are now also invoked in customer surveys and feedback forms. Hence, there is a need for techniques to understand their sentiment and emotion. In this work, we provide a method to quantify the emotional association of basic emotions such as anger, fear, joy, and sadness for a set of emojis. We collect and process a unique corpus of 20 million emoji-centric tweets, such that we can capture rich emoji semantics using a comparably small dataset. We evaluate the induced emotion profiles of emojis with regard to their ability to predict word affect intensities as well as sentiment scores.
%R 10.26615/978-954-452-056-4_126
%U https://aclanthology.org/R19-1126
%U https://doi.org/10.26615/978-954-452-056-4_126
%P 1094-1103
Markdown (Informal)
[EmoTag – Towards an Emotion-Based Analysis of Emojis](https://aclanthology.org/R19-1126) (Shoeb et al., RANLP 2019)
ACL
- Abu Awal Md Shoeb, Shahab Raji, and Gerard de Melo. 2019. EmoTag – Towards an Emotion-Based Analysis of Emojis. In Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2019), pages 1094–1103, Varna, Bulgaria. INCOMA Ltd..