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Understanding the Role of Visual Features in Emoji Similarity

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Book cover Advances in Data Science (ICIIT 2018)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 941))

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Abstract

Emojis are pictographs which provide emotional cues and creativity to an otherwise bland textual conversation. They are widely used across different social media platforms to express ineffable feelings and facilitate an intimate conversation. The extent of its popularity can be gauged from the growing number of emojis in upcoming Emoji version. However, prior works on emoji prediction have majorly emphasized semantic relatedness. In this paper, we attempt to understand the significance of visual similarity and thus, the contribution of visual features in computing similarity of emojis. We use a publicly available dataset EmoSim508 to perform our experiments. The results indicate a correlation between visual features and emoji similarity.

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Notes

  1. 1.

    https://blog.emojipedia.org/157-new-emojis-in-the-final-2018-emoji-list/.

  2. 2.

    https://goo.gl/BdN1L1 accessed on March 20, 2018.

  3. 3.

    https://goo.gl/z8bex5 accessed on March 20, 2018.

  4. 4.

    https://unicode.org/emoji/charts/full-emoji-list.html.

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Authors and Affiliations

  1. School of Engineering Sciences, Mahindra École Centrale, Hyderabad, India

    Sunny Rai

  2. Division of Computer Engineering, Netaji Subhas Institute Technology, Delhi, India

    Apar Garg & Shampa Chakraverty

Authors
  1. Sunny Rai
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  2. Apar Garg
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  3. Shampa Chakraverty
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Corresponding author

Correspondence to Sunny Rai .

Editor information

Editors and Affiliations

  1. Carnegie Mellon University, Pittsburgh, PA, USA

    Leman Akoglu

  2. University of Southern California, Marina Del Rey, CA, USA

    Emilio Ferrara

  3. CEG, Anna University, Chennai, India

    Mallayya Deivamani

  4. Northeastern University at Silicon Valley, San Jose, CA, USA

    Ricardo Baeza-Yates

  5. Anna University, Chennai, India

    Palanisamy Yogesh

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Rai, S., Garg, A., Chakraverty, S. (2019). Understanding the Role of Visual Features in Emoji Similarity. In: Akoglu, L., Ferrara, E., Deivamani, M., Baeza-Yates, R., Yogesh, P. (eds) Advances in Data Science. ICIIT 2018. Communications in Computer and Information Science, vol 941. Springer, Singapore. https://doi.org/10.1007/978-981-13-3582-2_7

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  • DOI: https://doi.org/10.1007/978-981-13-3582-2_7

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-3581-5

  • Online ISBN: 978-981-13-3582-2

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