Large Data Set Mining

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Abstract

Digital emotion research has yet to make history. Until now large data set mining has not been a very active field of research in early modern emotion studies. This is indeed surprising since first, the early modern field has such rich, copyright-free, digitized data sets and second, emotion studies have provided a solid basis for (textual) computational analysis. Moreover, sentiment mining is one of the most active research areas in natural language processing, and the methods and underlying assumptions of sentiment analysis are in urgent need of being tested and improved by the aggregated knowledge from fields such as early modern emotion studies.
Original languageEnglish
Title of host publicationEarly Modern Emotions
Subtitle of host publicationEarly Modern Emotions
EditorsSusan Broomhall
Place of PublicationNew York
PublisherRoutledge
Pages27-20
Number of pages3
ISBN (Electronic) 9781315441351
Publication statusPublished - 2017

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Keywords

  • Emotion and Sensory Studies
  • Cultural History
  • early modern history
  • Digital Humanities
  • Data science

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Cite this

Leemans, I. B. (2017). Large Data Set Mining. In S. Broomhall (Ed.), Early Modern Emotions: Early Modern Emotions (pp. 27-20). New York: Routledge.