Exploring "Letters from the Future" by visualizing narrative structure

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The growing supply of online mental health tools, platforms and treatments results in an enormous quantity of digital narrative data to be structured, analysed and interpreted. Natural Language Processing is very suitable to automatically extract textual and structural features from narratives. Visualizing these features can help to explore patterns and shifts in text content and structure. In this study, streamgraphs are developed for different types of "Letters from the Future", an online mental health promotion instrument. The visualizations show differences between as well as within the different letter types, providing directions for future research in both the visualization of narrative structure and in the field of narrative psychology. The method presented here is not limited to "Letters from the Future", the current object of study, but can in fact be used to explore any digital or digitalized textual source, like books, speech transcripts or email conversations.
Original languageEnglish
Title of host publication7th Workshop on Computational Models of Narrative (CMN 2016)
EditorsBen Miller, Antonio Lieto, Rémi Ronfard, Stephen G. Ware, Mark A. Finlayson
Place of PublicationWadern
ISBN (Print)978-3-95977-020-0
Publication statusPublished - 2016
Event7th Workshop on Computational Models of Narrative (CMN 2016) - Wadern
Duration: 1 Jan 20161 Jan 2016

Publication series

PublisherSchloss Dagstuhl Leibniz-Zentrum für Informatik
ISSN (Print)2190-6807
ISSN (Electronic)2190-6807


Conference7th Workshop on Computational Models of Narrative (CMN 2016)


  • METIS-319230
  • IR-102376


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