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Exploring Emojis for Emotion Recognition in Portuguese Text

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Progress in Artificial Intelligence (EPIA 2019)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 11805))

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Abstract

New forms of communication, like emojis, are frequent today in social media. Having in mind their strong connection with expressed emotions, we exploit emojis towards the creation of a model for emotion recognition in Portuguese. We gather short texts from Twitter and follow a traditional text classification task, where emojis are used as labels. After the process of feature engineering, two types of Naive Bayes and SVM classifiers are trained: one for classifying emotion, based on related emojis; another for predicting emojis. Interesting but debatable results were obtained on the former task, while the latter revealed to be more challenging, mainly due to emoji similarity. Yet, this also suggests that we can rely on them as an alternative to manually labelling emotions.

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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Notes

  1. 1.

    https://scikit-learn.org/.

  2. 2.

    http://www.tweepy.org.

  3. 3.

    https://dev.twitter.com.

  4. 4.

    We used the stopword list in NLTK, https://www.nltk.org.

  5. 5.

    https://radimrehurek.com/gensim/.

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Author information

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 Hugo Gonçalo Oliveira .

Editor information

Editors and Affiliations

  1. INESC-TEC, University of Trás-os-Montes and Alto Douro, Vila Real, Portugal

    Paulo Moura Oliveira

  2. University of Minho, Braga, Portugal

    Paulo Novais

  3. LIACC/UP, University of Porto, Porto, Portugal

    Luís Paulo Reis

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Duarte, L., Macedo, L., Gonçalo Oliveira, H. (2019). Exploring Emojis for Emotion Recognition in Portuguese Text. In: Moura Oliveira, P., Novais, P., Reis, L. (eds) Progress in Artificial Intelligence. EPIA 2019. Lecture Notes in Computer Science(), vol 11805. Springer, Cham. https://doi.org/10.1007/978-3-030-30244-3_59

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  • DOI: https://doi.org/10.1007/978-3-030-30244-3_59

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-30243-6

  • Online ISBN: 978-3-030-30244-3

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