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International Conference on Telecommunications

ICT 2018: ICT Innovations 2018. Engineering and Life Sciences pp 217–232Cite as

Explorations into Deep Neural Models for Emotion Recognition

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 940))

Abstract

Deep emotion recognition is the central objective of our recent research efforts. This study examines the capability of several deep learning architectures and word embeddings to classify emotions on two Twitter datasets. We have identified several aspects worth investigating that appeared to challenge and contrast previously established notion that semantic information is captured by distributional word representations. Our evidence has shown that extending the word embeddings to account for the use of emojis and incorporating a suitable lexicon of emotional words can lead to a better classification of the emotional content carried by Twitter messages.

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Notes

  1. 1.

    https://competitions.codalab.org/competitions/17751#learn_the_details-datasets, last accessed: May 2018.

  2. 2.

    https://data.world/crowdflower/sentiment-analysis-in-text, last accessed: May 2018.

  3. 3.

    https://www.nltk.org/, last accessed: May 2018.

  4. 4.

    https://nlp.stanford.edu/projects/glove/, last accessed: May 2018.

  5. 5.

    https://github.com/felipebravom/AffectiveTweets/releases/tag/1.0.0, last accessed: May 2018.

  6. 6.

    https://www.cs.waikato.ac.nz/ml/sa/files/, last accessed: May 2018.

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Acknowledgements

This work was partially financed by the Faculty of Computer Science and Engineering at the “Ss. Cyril and Methodius” University.

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Authors and Affiliations

  1. Faculty of Computer Science and Engineering, Ss. Cyril and Methodius University, Skopje, Macedonia

    Frosina Stojanovska, Martina Toshevska & Sonja Gievska

Authors
  1. Frosina Stojanovska
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  2. Martina Toshevska
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  3. Sonja Gievska
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Correspondence to Frosina Stojanovska .

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Editors and Affiliations

  1. Faculty of Computer Science and Engineering, Saints Cyril and Methodius University of Skopje, Skopje, Macedonia

    Slobodan Kalajdziski

  2. Faculty of Computer Science and Engineering, Saints Cyril and Methodius University of Skopje, Skopje, Macedonia

    Nevena Ackovska

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Stojanovska, F., Toshevska, M., Gievska, S. (2018). Explorations into Deep Neural Models for Emotion Recognition. In: Kalajdziski, S., Ackovska, N. (eds) ICT Innovations 2018. Engineering and Life Sciences. ICT 2018. Communications in Computer and Information Science, vol 940. Springer, Cham. https://doi.org/10.1007/978-3-030-00825-3_19

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  • DOI: https://doi.org/10.1007/978-3-030-00825-3_19

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  • Online ISBN: 978-3-030-00825-3

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