Creating a Dataset for Multilingual Fine-grained Emotion-detection Using Gamification-based Annotation

Emily Öhman; Kaisla Kajava; Jörg Tiedemann; Timo Honkela

Creating a Dataset for Multilingual Fine-grained Emotion-detection Using Gamification-based Annotation

Emily Öhman, Kaisla Kajava, Jörg Tiedemann, Timo Honkela

Not published at Aalto University

University of Helsinki

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

20 Citations (Scopus)

Abstract

This paper introduces a gamified framework for fine-grained sentiment analysis and emotion detection. We present a flexible tool, Sentimentator, that can be used for efficient annotation based on crowd sourcing and a self-perpetuating gold standard. We also present a novel dataset with multi-dimensional annotations of emotions and sentiments in movie subtitles that enables research on sentiment preservation across languages and the creation of robust multilingual emotion detection tools. The tools and datasets are public and open-source and can easily be extended and applied for various purposes.

Original language	English
Title of host publication	WASSA 2018 - 9th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis, Proceedings of the Workshop
Publisher	Association for Computational Linguistics
Pages	24-30
Number of pages	7
ISBN (Electronic)	9781948087803
Publication status	Published - 2018
MoE publication type	A4 Conference publication
Event	Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis - Brussels, Belgium Duration: 31 Oct 2018 → 31 Oct 2018 Conference number: 9

Workshop

Workshop	Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis
Country/Territory	Belgium
City	Brussels
Period	31/10/2018 → 31/10/2018

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Öhman, E., Kajava, K., Tiedemann, J., & Honkela, T. (2018). Creating a Dataset for Multilingual Fine-grained Emotion-detection Using Gamification-based Annotation. In WASSA 2018 - 9th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis, Proceedings of the Workshop (pp. 24-30). Association for Computational Linguistics. https://aclanthology.org/W18-6205/

@inproceedings{898421c9cee146d2a72d1cc86ba2da74,

title = "Creating a Dataset for Multilingual Fine-grained Emotion-detection Using Gamification-based Annotation",

abstract = "This paper introduces a gamified framework for fine-grained sentiment analysis and emotion detection. We present a flexible tool, Sentimentator, that can be used for efficient annotation based on crowd sourcing and a self-perpetuating gold standard. We also present a novel dataset with multi-dimensional annotations of emotions and sentiments in movie subtitles that enables research on sentiment preservation across languages and the creation of robust multilingual emotion detection tools. The tools and datasets are public and open-source and can easily be extended and applied for various purposes.",

author = "Emily {\"O}hman and Kaisla Kajava and J{\"o}rg Tiedemann and Timo Honkela",

note = "Publisher Copyright: {\textcopyright} 2018 Association for Computational Linguistics; Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis ; Conference date: 31-10-2018 Through 31-10-2018",

year = "2018",

language = "English",

pages = "24--30",

booktitle = "WASSA 2018 - 9th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis, Proceedings of the Workshop",

publisher = "Association for Computational Linguistics",

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}

Öhman, E, Kajava, K, Tiedemann, J & Honkela, T 2018, Creating a Dataset for Multilingual Fine-grained Emotion-detection Using Gamification-based Annotation. in WASSA 2018 - 9th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis, Proceedings of the Workshop. Association for Computational Linguistics, pp. 24-30, Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis, Brussels, Belgium, 31/10/2018. <https://aclanthology.org/W18-6205/>

Creating a Dataset for Multilingual Fine-grained Emotion-detection Using Gamification-based Annotation. / Öhman, Emily; Kajava, Kaisla; Tiedemann, Jörg et al.
WASSA 2018 - 9th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis, Proceedings of the Workshop. Association for Computational Linguistics, 2018. p. 24-30.

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

TY - GEN

T1 - Creating a Dataset for Multilingual Fine-grained Emotion-detection Using Gamification-based Annotation

AU - Öhman, Emily

AU - Kajava, Kaisla

AU - Tiedemann, Jörg

AU - Honkela, Timo

N1 - Conference code: 9

PY - 2018

Y1 - 2018

N2 - This paper introduces a gamified framework for fine-grained sentiment analysis and emotion detection. We present a flexible tool, Sentimentator, that can be used for efficient annotation based on crowd sourcing and a self-perpetuating gold standard. We also present a novel dataset with multi-dimensional annotations of emotions and sentiments in movie subtitles that enables research on sentiment preservation across languages and the creation of robust multilingual emotion detection tools. The tools and datasets are public and open-source and can easily be extended and applied for various purposes.

AB - This paper introduces a gamified framework for fine-grained sentiment analysis and emotion detection. We present a flexible tool, Sentimentator, that can be used for efficient annotation based on crowd sourcing and a self-perpetuating gold standard. We also present a novel dataset with multi-dimensional annotations of emotions and sentiments in movie subtitles that enables research on sentiment preservation across languages and the creation of robust multilingual emotion detection tools. The tools and datasets are public and open-source and can easily be extended and applied for various purposes.

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M3 - Conference article in proceedings

AN - SCOPUS:85086066412

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EP - 30

BT - WASSA 2018 - 9th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis, Proceedings of the Workshop

PB - Association for Computational Linguistics

T2 - Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis

Y2 - 31 October 2018 through 31 October 2018

ER -

Creating a Dataset for Multilingual Fine-grained Emotion-detection Using Gamification-based Annotation

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