# EmojiNet: An Open Service and API for Emoji Sense Discovery

arXiv: https://arxiv.org/abs/1707.04652 · HTML: https://mlsanity.com/paper/1707.04652/

## Key facts

- Cited by 7 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 14 Jul 2017.

## Built on by (most cited first, 7 of 7)

- [Semantic Journeys: Quantifying Change in Emoji Meaning from 2012-2018](https://mlsanity.com/paper/2105.00846/) (2021)
- [On the Context-Free Ambiguity of Emoji](https://mlsanity.com/paper/2201.06302/) (2022)
- [FeelsGoodMan: Inferring Semantics of Twitch Neologisms](https://mlsanity.com/paper/2108.08411/) (2021)
- [Pay attention to emoji: Feature Fusion Network with EmoGraph2vec Model for Sentiment Analysis](https://mlsanity.com/paper/2110.14636/) (2021)
- [A Cognitive Account of the Puzzle of Ideography](https://mlsanity.com/paper/2305.00296/) (2023)
- [Emojinize: Enriching Any Text with Emoji Translations](https://mlsanity.com/paper/2403.03857/) (2024)
- [Unleashing the Power of Emojis in Texts via Self-supervised Graph Pre-Training](https://mlsanity.com/paper/2409.14552/) (2024)

## Abstract (arXiv)

This paper presents the release of EmojiNet, the largest machine-readable emoji sense inventory that links Unicode emoji representations to their English meanings extracted from the Web. EmojiNet is a dataset consisting of: (i) 12,904 sense labels over 2,389 emoji, which were extracted from the web and linked to machine-readable sense definitions seen in BabelNet, (ii) context words associated with each emoji sense, which are inferred through word embedding models trained over Google News corpus and a Twitter message corpus for each emoji sense definition, and (iii) recognizing discrepancies in the presentation of emoji on different platforms, specification of the most likely platform-based emoji sense for a selected set of emoji. The dataset is hosted as an open service with a REST API and is available at http://emojinet.knoesis.org/. The development of this dataset, evaluation of its quality, and its applications including emoji sense disambiguation and emoji sense similarity are discussed.