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Using Book Dialogues to Extract Emotions from Texts

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Human Language Technology. Challenges for Computer Science and Linguistics (LTC 2019)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 13212))

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Abstract

Detecting emotions from a text can be challenging, especially if we do not have any annotated corpus. We propose to use book dialogue lines and accompanying phrases to obtain utterances annotated with emotion vectors. We describe two different methods of achieving this goal. Then we use neural networks to train models that assign a vector representing emotions for each utterance. These solutions do not need any corpus of texts annotated explicitly with emotions because information about emotions for training data is extracted from dialogues’ reporting clauses. We compare the performance of both solutions with other emotion detection algorithms.

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Author information

Authors and Affiliations

  1. Adam Mickiewicz University, Poznań, Poland

    Paweł Skórzewski

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  1. Paweł Skórzewski
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Correspondence to Paweł Skórzewski .

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Editors and Affiliations

  1. Adam Mickiewicz University, Poznań, Poland

    Zygmunt Vetulani

  2. LIMSI-CNRS, Orsay, France

    Patrick Paroubek

  3. Adam Mickiewicz University, Poznań, Poland

    Marek Kubis

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Skórzewski, P. (2022). Using Book Dialogues to Extract Emotions from Texts. In: Vetulani, Z., Paroubek, P., Kubis, M. (eds) Human Language Technology. Challenges for Computer Science and Linguistics. LTC 2019. Lecture Notes in Computer Science(), vol 13212. Springer, Cham. https://doi.org/10.1007/978-3-031-05328-3_16

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  • DOI: https://doi.org/10.1007/978-3-031-05328-3_16

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  • Print ISBN: 978-3-031-05327-6

  • Online ISBN: 978-3-031-05328-3

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