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Automatic Extraction of Emojiset

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Intelligent Computing

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 283))

Abstract

Emojisets are defined as sequences of emojis found within text. Our goal is to find and automatically extract the emojiset from a given text. To do this we introduce a new algorithm ExtractEmojiset which performs this task. With our algorithm, we then demonstrate a census of emojisets found within six tweet datasets. Overall, single emoji emojisets are the most common. We hope the usage of emojisets expands to the application in future analysis using sentiment analysis, machine learning, and deep learning.

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References

  1. Reed, R.: Everything you need to know about emoji (2016)

    Google Scholar 

  2. Buteau, A.: The importance of understanding emoji (2017)

    Google Scholar 

  3. Ge, J.: Emoji sequence use in enacting personal identity. In: Companion Proceedings of the 2019 World Wide Web Conference, WWW 2019, San Francisco, pp. 426–438 (2019)

    Google Scholar 

  4. Al-Rawi, A., Siddiqi, M., Morgan, R., Vandan, N., Smith, J., Wenham, C.: COVID-19 and the gendered use of emojis on Twitter: infodemiology study. J. Med. Internet Res. 11(22), e21646 (2020)

    Google Scholar 

  5. Eisner, B., Rocktäschel, T., Augenstein, I., Bošnjak, M., Riedel, S.: emoji2vec: learning emoji representations from their description. In: Proceeding of the 4th International Workshop on Natural Language Processing for Social Media, SocialNLP, EMNLP (2016)

    Google Scholar 

  6. Illendula, A., Yedulla, M.R.: Learning emoji embeddings using emoji co-occurrence network graph. In: 1st International Workshop on Emoji Understanding and Applications in Social Media Co, ICWSM (2018)

    Google Scholar 

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Correspondence to Salem Othman .

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Appendix

Appendix

Table 4. Keywords of each topic

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© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG

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Roesch, P., Franco, C., Bernier, W., Othman, S. (2022). Automatic Extraction of Emojiset. In: Arai, K. (eds) Intelligent Computing. Lecture Notes in Networks and Systems, vol 283. Springer, Cham. https://doi.org/10.1007/978-3-030-80119-9_36

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