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International Conference on Computational Processing of the Portuguese Language

PROPOR 2020: Computational Processing of the Portuguese Language pp 174–183Cite as

Emoji Prediction for Portuguese

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 12037))

Abstract

Besides alternative text-based forms, emojis became highly common in social media. Given their importance in daily communication, we tackled the problem of emoji prediction in Portuguese social media text. We created a dataset with occurrences of frequent emojis, used as labels, and then compared the performance of traditional machine learning algorithms with neural networks when predicting them. Either considering five or ten of the most popular emojis, an LSTM neural network clearly outperformed Naive Bayes in the latter task, with F1-scores of 60% and 52%, respectively, against 33% and 23%.

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Notes

  1. 1.

    Real-time usage of emojis in Twitter is available in http://emojitracker.com.

  2. 2.

    Available in http://www.tweepy.org.

  3. 3.

    See https://scikit-learn.org/stable/tutorial/text_analytics/working_with_tex_data.html for using scikit-learn with textual data.

  4. 4.

    We used NLTK’s Portuguese stopword list, https://www.nltk.org.

  5. 5.

    https://keras.io.

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Acknowledgements

This work was developed in the scope of the SOCIALITE Project (PTDC/EEISCR/2072/2014), co-financed by COMPETE 2020, Portugal 2020 – Operational Program for Competitiveness and Internationalization (POCI), European Union’s ERDF (European Regional Development Fund), and the Portuguese Foundation for Science and Technology (FCT).

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Authors and Affiliations

  1. CISUC, University of Coimbra, Coimbra, Portugal

    Luis Duarte, Luís Macedo & Hugo Gonçalo Oliveira

Authors
  1. Luis Duarte
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  2. Luís Macedo
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  3. Hugo Gonçalo Oliveira
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Corresponding author

Correspondence to Luis Duarte .

Editor information

Editors and Affiliations

  1. University of Évora, Evora, Portugal

    Paulo Quaresma

  2. University of Évora, Evora, Portugal

    Renata Vieira

  3. University of São Paulo, São Carlos, Brazil

    Sandra Aluísio

  4. University of Lisbon, Lisbon, Portugal

    Helena Moniz

  5. INESC-ID/ISCTE-IUL, Lisbon, Portugal

    Fernando Batista

  6. University of Évora, Evora, Portugal

    Teresa Gonçalves

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Duarte, L., Macedo, L., Gonçalo Oliveira, H. (2020). Emoji Prediction for Portuguese. In: Quaresma, P., Vieira, R., Aluísio, S., Moniz, H., Batista, F., Gonçalves, T. (eds) Computational Processing of the Portuguese Language. PROPOR 2020. Lecture Notes in Computer Science(), vol 12037. Springer, Cham. https://doi.org/10.1007/978-3-030-41505-1_17

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  • DOI: https://doi.org/10.1007/978-3-030-41505-1_17

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-41504-4

  • Online ISBN: 978-3-030-41505-1

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