Mining Embodied Emotions: A Comparative Analysis of Bodily Emotion Expressions in Dutch Theatre Texts 1600-1800'

Research output: Contribution to JournalArticleAcademicpeer-review

Abstract

This article presents a new model for emotion mining, resulting from the research project Embodied Emotions. This project aims: 1. to trace historical changes in emotion expression and in the embodiment of emotions, and 2. to develop methods to trace these changes in sizeable corpuses of digitized texts. Up to now, the mining of sentiments or emotions has mainly been restricted to modern, or even very recent text corpora, such as social media. Sentiment mining techniques are often based on relatively simple emotion models of binary (positive/negative) oppositions, or limited sets of ‘basic’ emotions and are not yet able to deal adequately with the complexity and the historical contingency of emotions and their expression. To meet these challenges, we have developed the Historic Embodied Emotion Model (HEEM), built on a test case of 29 Dutch language theatre plays written between 1600 and 1800 and annotated manually with HEEM labels for emotions and body terms. In this article, we present this model and compare it with other sentiment mining techniques: 1) off the shelf linguistic analysis software LIWC (Linguistic Inquiry and Word Count), 2) a version of LIWC that has been adapted for the analysis of Dutch historical texts, 3) a new Dutch translation of WordNetAffect. We conclude that, although different forms of sentiment mining have their value and use, HEEM provides new opportunities for emotion mining and analysis of embodied emotions in historical texts.
Original languageEnglish
JournalDigital Humanities Quarterly
Volume11
Issue number4
Publication statusPublished - 2017

Fingerprint

Theaters
theater
emotion
Linguistics
Comparative Analysis
Emotion
Labels
linguistics
social media
contingency

Keywords

  • Digital Humanities
  • Sentiment Mining
  • Emotion Mining
  • Natural language processing
  • cultural history
  • Theatre studies
  • Emotion and Sensory Studies
  • embodiment

VU Research Profile

  • Connected World

Cite this

@article{a53fb7a9e68240c690c88f4a4725bfc8,
title = "Mining Embodied Emotions: A Comparative Analysis of Bodily Emotion Expressions in Dutch Theatre Texts 1600-1800'",
abstract = "This article presents a new model for emotion mining, resulting from the research project Embodied Emotions. This project aims: 1. to trace historical changes in emotion expression and in the embodiment of emotions, and 2. to develop methods to trace these changes in sizeable corpuses of digitized texts. Up to now, the mining of sentiments or emotions has mainly been restricted to modern, or even very recent text corpora, such as social media. Sentiment mining techniques are often based on relatively simple emotion models of binary (positive/negative) oppositions, or limited sets of ‘basic’ emotions and are not yet able to deal adequately with the complexity and the historical contingency of emotions and their expression. To meet these challenges, we have developed the Historic Embodied Emotion Model (HEEM), built on a test case of 29 Dutch language theatre plays written between 1600 and 1800 and annotated manually with HEEM labels for emotions and body terms. In this article, we present this model and compare it with other sentiment mining techniques: 1) off the shelf linguistic analysis software LIWC (Linguistic Inquiry and Word Count), 2) a version of LIWC that has been adapted for the analysis of Dutch historical texts, 3) a new Dutch translation of WordNetAffect. We conclude that, although different forms of sentiment mining have their value and use, HEEM provides new opportunities for emotion mining and analysis of embodied emotions in historical texts.",
keywords = "Digital Humanities, Sentiment Mining, Emotion Mining, Natural language processing, cultural history, Theatre studies, Emotion and Sensory Studies, embodiment",
author = "I.B. Leemans and E. Maks and {van der Zwaan}, J.M. and H.M.E.P. Kuijpers and Kristine Steenbergh",
year = "2017",
language = "English",
volume = "11",
journal = "Digital Humanities Quarterly",
issn = "1938-4122",
publisher = "Alliance of Digital Humanities Organizations",
number = "4",

}

TY - JOUR

T1 - Mining Embodied Emotions

T2 - A Comparative Analysis of Bodily Emotion Expressions in Dutch Theatre Texts 1600-1800'

AU - Leemans, I.B.

AU - Maks, E.

AU - van der Zwaan, J.M.

AU - Kuijpers, H.M.E.P.

AU - Steenbergh, Kristine

PY - 2017

Y1 - 2017

N2 - This article presents a new model for emotion mining, resulting from the research project Embodied Emotions. This project aims: 1. to trace historical changes in emotion expression and in the embodiment of emotions, and 2. to develop methods to trace these changes in sizeable corpuses of digitized texts. Up to now, the mining of sentiments or emotions has mainly been restricted to modern, or even very recent text corpora, such as social media. Sentiment mining techniques are often based on relatively simple emotion models of binary (positive/negative) oppositions, or limited sets of ‘basic’ emotions and are not yet able to deal adequately with the complexity and the historical contingency of emotions and their expression. To meet these challenges, we have developed the Historic Embodied Emotion Model (HEEM), built on a test case of 29 Dutch language theatre plays written between 1600 and 1800 and annotated manually with HEEM labels for emotions and body terms. In this article, we present this model and compare it with other sentiment mining techniques: 1) off the shelf linguistic analysis software LIWC (Linguistic Inquiry and Word Count), 2) a version of LIWC that has been adapted for the analysis of Dutch historical texts, 3) a new Dutch translation of WordNetAffect. We conclude that, although different forms of sentiment mining have their value and use, HEEM provides new opportunities for emotion mining and analysis of embodied emotions in historical texts.

AB - This article presents a new model for emotion mining, resulting from the research project Embodied Emotions. This project aims: 1. to trace historical changes in emotion expression and in the embodiment of emotions, and 2. to develop methods to trace these changes in sizeable corpuses of digitized texts. Up to now, the mining of sentiments or emotions has mainly been restricted to modern, or even very recent text corpora, such as social media. Sentiment mining techniques are often based on relatively simple emotion models of binary (positive/negative) oppositions, or limited sets of ‘basic’ emotions and are not yet able to deal adequately with the complexity and the historical contingency of emotions and their expression. To meet these challenges, we have developed the Historic Embodied Emotion Model (HEEM), built on a test case of 29 Dutch language theatre plays written between 1600 and 1800 and annotated manually with HEEM labels for emotions and body terms. In this article, we present this model and compare it with other sentiment mining techniques: 1) off the shelf linguistic analysis software LIWC (Linguistic Inquiry and Word Count), 2) a version of LIWC that has been adapted for the analysis of Dutch historical texts, 3) a new Dutch translation of WordNetAffect. We conclude that, although different forms of sentiment mining have their value and use, HEEM provides new opportunities for emotion mining and analysis of embodied emotions in historical texts.

KW - Digital Humanities

KW - Sentiment Mining

KW - Emotion Mining

KW - Natural language processing

KW - cultural history

KW - Theatre studies

KW - Emotion and Sensory Studies

KW - embodiment

M3 - Article

VL - 11

JO - Digital Humanities Quarterly

JF - Digital Humanities Quarterly

SN - 1938-4122

IS - 4

ER -