TexTiles: Exploring Patterns in Historical Discourse Robert - - PowerPoint PPT Presentation

textiles exploring patterns in historical discourse
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TexTiles: Exploring Patterns in Historical Discourse Robert - - PowerPoint PPT Presentation

TexTiles: Exploring Patterns in Historical Discourse Robert Roessler, Caiseen Kelly, Michael Behrisch, Johanna Beyer. 4th Workshop on Visualization for the Digital Humanities (at IEEE Vis 19), 2019. 1 Background Discourse - A social


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SLIDE 1

TexTiles: Exploring Patterns in Historical Discourse

Robert Roessler, Caiseen Kelly, Michael Behrisch, Johanna Beyer. 4th Workshop on Visualization for the Digital Humanities (at IEEE Vis 19), 2019.

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Background

  • Discourse
  • A social boundary that defines what

statements can be said about a topic

  • Discourse analysis
  • A method in the humanities to analyze

historical trends and knowledge figurations

  • Corpus (pl. corpora)
  • a collection of written texts

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User requirements

  • Synchronic analysis
  • Explore a system of discourse at one point in time
  • Diachronic analysis
  • Analyze discourse over time
  • Syntagmatic analysis
  • Combination and connection of words surrounding a

previously defined keyword

  • Paradigmatic analysis
  • Interchangeability in certain word slots

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User requirements

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Abstract tasks

  • Synchronic analysis
  • Co-occurrence of words
  • Diachronic analysis
  • Relative popularity of the surrounding words

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Word-Net view

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Word-Net view

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Comparative Word-Matrix view

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Analysis summary

  • What: data
  • Text
  • What: derived
  • Frequency of co-
  • ccurrence of words
  • What: derived
  • Co-occurrence

network

  • How: encode
  • Time-series line charts
  • Force-directed

placement

  • Matrix views of

networks

  • Scale
  • Thousands of pages of

text, dozens of words

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Critique

  • Strengths
  • Two-dimensional layout augments keyword search
  • Matrix views of networks with color encoding
  • Limitation
  • Paradigmatic analysis
  • Definition of co-occurrence
  • Line charts for too scarce and possibly categorical

data

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Thank you!

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