HEEM, a Complex Model for Mining Emotions in Historical Text

Zwaan, Janneke M. van der; Leemans, Inger; Kuijpers, Erika; Maks, Isa

doi:10.1109/escience.2015.18

Cited by 4 publications

(3 citation statements)

References 20 publications

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“…107 What kind of language is (or can be) 'mined' is highly dependent on disciplinary practices, available text collections, resources, research interests, and the questions being asked. This can be, to give some examples, the use of pronouns in personal writings, 108 the sentiment polarity or emotional charge of words used in consumer reviews, 109 literary texts, 110 tweets, 111 plays, 112 songs, 113 and political texts. 114 It can also be used to investigate the mental states of individuals, groups, or even entire societies.…”

Section: Text Miningmentioning

confidence: 99%

1. Introduction . On War, Emotions, and Computers in History

Lange

2023

Emotional Imprints of War

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Hurting Feelings' [B]ecause of all the sensitivities, I had to choose my words very carefully', stated Gerdi Verbeet, chair of the Dutch national commemoration committee Nationaal Comité 4 en 5 mei in 2016. 'You don't want to say something that hurts people's feelings', she added. 1 More than seven decades after the end of the German occupation of the Netherlands, Verbeet raised this issue in an interview about her role in the national World War II commemoration. It is not surprising that people associate a major devastating historical event with emotions experienced in the past, or that its history or consequences continue to elicit emotional responses in the present. 'The War', as people still refer to it, is more than a moral cornerstone or a prominent frame of reference. The German occupation during World War II left a profound emotional imprint on Dutch society. As Verbeet demonstrated, it has also become something about which it seems unimaginable, or at least socially unacceptable, to think, speak, or write without either a (subtle) display of emotion, or at least an explicit mention of the supposed emotionality of others. 2 That, however, is not all.Emotions are omnipresent in academic historical studies dealing with the aftermath of World War II in the Netherlands. Scholars use emotions in subordinate 1 Gerdi Verbeet stated this in an interview in the leading national newspaper, NRC Handelsblad, when she was interviewed around the time of national Remembrance Day in 2016. See Danielle Pinedo, '"De oorlog houdt ons meer bezig dan ooit"', NRC Handelsblad, 30 April 2016, https://www.nrc.nl/nieuws/2016/04/30/de-oorlog-houdt-ons-meer-bezig-dan-ooit-16 13560-a1234765. 2 This seems to be an implicit social code: Emotions should not be forgotten, and sensitivities are to be respected. This phenomenon became very clear during the Jenninger affair in Germany in 1988. Philip Jenninger, president of the West German Bundestag, caused a scandal when he, in the eyes of his critics, failed to express sentiments and emotions of remorse about the atrocities of the war in a public remembrance ceremony of the Kristallnacht. See Ernestine Schlant, The Language of Silence: West German Literature and the Holocaust, 1st ed. (New York: Routledge, 1999), 185-86. 1. Introduction | On War, Emotions, and Computers in History 12 Frédéric Clavert, 'Lecture des sources historiennes à l'ère numérique' , L'histoire contemporaine à l'ère numérique (blog), accessed 27 May 2021, https://histnum.hypotheses.org/1061; cited in Zaagsma, 'On Digital History' , 24. 13 Withuis and Mooij, 'From Totalitarianism to Trauma'; Tames, Doorn in het vlees; Mary Fulbrook, 'Troubling Issues: Guilt and Shame among Persecutors and Persecuted', in Reverberations of Nazi Violence in Germany and Beyond: Disturbing Pasts, ed. Stephanie Bird et al.

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Section: Text Miningmentioning

confidence: 99%

1. Introduction . On War, Emotions, and Computers in History

Lange

2023

Emotional Imprints of War

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“…As for the single-label classification, most of the works existing in the literature perform the classification of texts in English or Chinese. Zwaan and colleagues [18] present the use of the Problem Transformation methods BR and RAkEL with the SVM algorithm for the classification of texts in Dutch. Another explored language is Japanese.…”

Section: Related Workmentioning

confidence: 99%

Multi-label Classification of User Reactions in Online News

Curi¹,

Britto²,

Paraíso³

2018

Preprint

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The increase in the number of Internet users and the strong interaction brought by Web 2.0 made the Opinion Mining an important task in the area of natural language processing. Although several methods are capable of performing this task, few use multi-label classification, where there is a group of true labels for each example. This type of classification is useful for situations where the opinions are analyzed from the perspective of the reader, this happens because each person can have different interpretations and opinions on the same subject. This paper discuss the efficiency of problem transformation methods combined with different classification algorithms for the task of multi-label classification of reactions in news texts. To do that, extensive tests were carried out on two news corpora written in Brazilian Portuguese annotated with reactions. A new corpus called BFRC-PT is presented. In the tests performed, the highest number of correct predictions was obtained with the Classifier Chains method combined with the Random Forest algorithm. When considering the class distribution, the best results were obtained with the Binary Relevance method combined with the LSTM and Random Forest algorithms.

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“…Embodied Emotions (Zwaan et al, 2015) is a digital history project that investigates the relation Figure 6: The data-centric view, showing the raw data and offsets for the text snippets, as well as the (colored) labels as found in the text. The data displayed here is from 17th century dutch theatre plays between body parts and emotions in Dutch stage plays over time (i.e.…”

Section: Embodied Emotionsmentioning

confidence: 99%

Storyteller: Visual Analytics of Perspectives on Rich Text Interpretations

Meersbergen¹,

Vossen²,

Zwaan³

et al. 2017

Proceedings of the 2017 EMNLP Workshop: Natural Language Processing Meets Journalism

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Complexity of event data in texts makes it difficult to assess its content, especially when considering larger collections in which different sources report on the same or similar situations. We present a system that makes it possible to visually analyze complex event and emotion data extracted from texts. We show that we can abstract from different data models for events and emotions to a single data model that can show the complex relations in four dimensions. The visualization has been applied to analyze 1) dynamic developments in how people both conceive and express emotions in theater plays and 2) how stories are told from the perspective of their sources based on rich event data extracted from news or biographies.

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HEEM, a Complex Model for Mining Emotions in Historical Text

Cited by 4 publications

References 20 publications

1. Introduction . On War, Emotions, and Computers in History

1. Introduction . On War, Emotions, and Computers in History

Multi-label Classification of User Reactions in Online News

Storyteller: Visual Analytics of Perspectives on Rich Text Interpretations

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