An emotional mess! Deciding on a framework for building a Dutch emotion-annotated corpus
- Author
- Luna De Bruyne (UGent) , Orphée De Clercq (UGent) and Veronique Hoste (UGent)
- Organization
- Project
- Abstract
- Seeing the myriad of existing emotion models, with the categorical versus dimensional opposition the most important dividing line, building an emotion-annotated corpus requires some well thought-out strategies concerning framework choice. In our work on automatic emotion detection in Dutch texts, we investigate this problem by means of two case studies. We find that the labels joy, love, anger, sadness and fear are well-suited to annotate texts coming from various domains and topics, but that the connotation of the labels strongly depends on the origin of the texts. Moreover, it seems that information is lost when an emotional state is forcedly classified in a limited set of categories, indicating that a bi-representational format is desirable when creating an emotion corpus.
- Keywords
- LT3, NLP, emotion detection, emotion annotation
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Citation
Please use this url to cite or link to this publication: http://hdl.handle.net/1854/LU-8662324
- MLA
- De Bruyne, Luna, et al. “An Emotional Mess! Deciding on a Framework for Building a Dutch Emotion-Annotated Corpus.” PROCEEDINGS OF THE 12TH INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION (LREC 2020), European Language Resources Association (ELRA), 2020, pp. 1636–44.
- APA
- De Bruyne, L., De Clercq, O., & Hoste, V. (2020). An emotional mess! Deciding on a framework for building a Dutch emotion-annotated corpus. PROCEEDINGS OF THE 12TH INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION (LREC 2020), 1636–1644. European Language Resources Association (ELRA).
- Chicago author-date
- De Bruyne, Luna, Orphée De Clercq, and Veronique Hoste. 2020. “An Emotional Mess! Deciding on a Framework for Building a Dutch Emotion-Annotated Corpus.” In PROCEEDINGS OF THE 12TH INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION (LREC 2020), 1636–44. European Language Resources Association (ELRA).
- Chicago author-date (all authors)
- De Bruyne, Luna, Orphée De Clercq, and Veronique Hoste. 2020. “An Emotional Mess! Deciding on a Framework for Building a Dutch Emotion-Annotated Corpus.” In PROCEEDINGS OF THE 12TH INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION (LREC 2020), 1636–1644. European Language Resources Association (ELRA).
- Vancouver
- 1.De Bruyne L, De Clercq O, Hoste V. An emotional mess! Deciding on a framework for building a Dutch emotion-annotated corpus. In: PROCEEDINGS OF THE 12TH INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION (LREC 2020). European Language Resources Association (ELRA); 2020. p. 1636–44.
- IEEE
- [1]L. De Bruyne, O. De Clercq, and V. Hoste, “An emotional mess! Deciding on a framework for building a Dutch emotion-annotated corpus,” in PROCEEDINGS OF THE 12TH INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION (LREC 2020), Marseille, France, 2020, pp. 1636–1644.
@inproceedings{8662324,
abstract = {{Seeing the myriad of existing emotion models, with the categorical versus dimensional opposition the most important dividing line, building an emotion-annotated corpus requires some well thought-out strategies concerning framework choice. In our work on automatic emotion detection in Dutch texts, we investigate this problem by means of two case studies. We find that the labels joy, love, anger, sadness and fear are well-suited to annotate texts coming from various domains and topics, but that the connotation of the labels strongly depends on the origin of the texts. Moreover, it seems that information is lost when an emotional state is forcedly classified in a limited set of categories, indicating that a bi-representational format is desirable when creating an emotion corpus.}},
author = {{De Bruyne, Luna and De Clercq, Orphée and Hoste, Veronique}},
booktitle = {{PROCEEDINGS OF THE 12TH INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION (LREC 2020)}},
isbn = {{9791095546344}},
issn = {{2522-2686}},
keywords = {{LT3,NLP,emotion detection,emotion annotation}},
language = {{eng}},
location = {{Marseille, France}},
pages = {{1636--1644}},
publisher = {{European Language Resources Association (ELRA)}},
title = {{An emotional mess! Deciding on a framework for building a Dutch emotion-annotated corpus}},
url = {{http://www.lrec-conf.org/proceedings/lrec2020/LREC-2020.pdf}},
year = {{2020}},
}